{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {
        "col": 0,
        "height": 4,
        "hidden": true,
        "row": 0,
        "width": 4
       },
       "report_default": {}
      }
     }
    },
    "nbpresent": {
     "id": "c59bfd9b-4293-433e-83db-820c33f4c378"
    }
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "from IPython.display import display\n",
    "from geoscilabs.em.DipoleWidgetTD import DipoleWidgetTD, InteractiveDipoleProfileTD, InteractiveDipoleDecay\n",
    "from geoscilabs.em.VolumeWidget import InteractivePlanes, plotObj3D"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {
        "col": 0,
        "height": 7,
        "hidden": false,
        "row": 0,
        "width": 7
       },
       "report_default": {}
      }
     }
    },
    "nbpresent": {
     "id": "95f1e819-0749-42ff-ad94-6d428298a5a7"
    }
   },
   "source": [
    "# Electrical Dipole in a Whole-space (time domain)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Purpose\n",
    "\n",
    "By using an analytic solution electromagnetic (EM) fields from electrical dipole in a Whole-space, we present some fundamentals of EM responses in the context of crosswell EM survey. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#  Set up\n",
    "\n",
    "For time domain EM method using galvanic source, we inject step-off currents to the earth through electrodes.\n",
    "\n",
    "## Crosswell EM geometry\n",
    "\n",
    "Here, we choose geometric parameters for a crosswell EM set-up having two boreholes for Tx and Rx. In the Tx hole, a VED source is located at (0m, 0m, 0m), and it is fixed. Horizontal location of the Rx hole is fixed to 50m apart from the source location in x-direction.  \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {
        "col": 8,
        "height": 13,
        "hidden": true,
        "row": 0,
        "width": 4
       },
       "report_default": {}
      }
     }
    },
    "nbpresent": {
     "id": "c0138e15-c392-4695-9627-578e85ae9c0a"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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yBKEDpbg+/fTTqKurw88//4w9e/bgyiuvRElJCSZMmNDjb/tKkaVpGtdeey2efPJJFBQUID4+Hg8++CDy8vIwbdq0Hn8/ZcoUFBUVYdWqVXjggQeQnJyMtrY2bN26FVdeeWXkX1iUCJTizDAMjh8/joKCAo9F09raiurqajidTigUCh+LxmAwQK1WS7bAtra2YuHChfjyyy/x7rvvQqlUYu/evaLGTEpKkjR1drAIit1uJxYK4RT+W+s6HA7U1dUhLS1N8nP5C8rixYuxv2k/OEiXPcRxHNpa29DU1ITYuFjkjc2DRnvqgh+d67YCxuaNxdi8seiydWHl4ysBHnjuH88he1Q2jrYfxSf/+QQHDh9A3tg83P/Q/Vh+63IkJSXhk08+wUsvvYRt27bBYDBgzpw5uPvuu3Hddddh+/btPk9roS4ITz/9NB555BGcffbZsNvtmDFjBv71r38FDPLTNI0NGzbgySefxJw5c9DR0YGUlBTMnTtXloISDIqioFaroVare6Q4u1wuT4ymo6MDtbW1nhRnf4smnBTnrVu3orW1FVdddRVeeeUVT6YSx3GiF+8VK1Zg9erVKCoqEjWOgBRzigb+6cyDOcuLCIqEBAu0KxSKqBWe+Qflf/jhB+xr3IffzPmN6LF5nkdDfQNaW1uRmJSIcePHhVwhLoiAUqnEnDlzwLgYzL9sPqbMngKX04Wy42U44TyBvfv3YuNPG/Fr1a9449U3UFxVjIsvvBiFhYXYu3cvlEplwMyz7u5un3+fddZZ6Ozs9PzbYDDgueeew3PPPRdwfv41DklJSXjhhRdC+myDEaVSifj4eMTHx/u8zrKsx6IxGo1obGwEwzCe1jXebWi8uzhv3LgRc+fOxfDhw6HT6QDA07ATkMYa+PDDD0W935+BrEPpDX+hI1lepzl9BdqjVd0tjO0dQ4mNjUWcObL4iYDT6XQvLDZ3197CwkIolJF16VXQCvA49dkFATz77LMBACNzR+K+R+9Do7kRxecWQ6fTYU/9Hrz5yZsYP3s8Nn+5GccOHcNjqx/DF59+gcmTJ4NlWTidTtL+xItIF3Ahxdm//Q3HcbBarbBarTCbzWhubvbEa0aPHo1t27Zh2LBhmDBhQsD0XykE5e2338bvfvc7n15sYhgsLi8SlD9NCXVrXZqm+62Arbi4GIp0BVx8z1bcfWG32dHQ2ABTtwkjRoyAXqfHiLQRop7qKJoCx5767BSC39BCCjAAPLbmMRgdRhT/phijJ4/GkfYj2N+8H4YuA1obWnHjHTfi203fYss3W5AYm4i5c+eiuroaWVlZQ7pFfX9B0zRiYmIQExMDwG3JNDQ0YPXq1fj4449x3333wWKxoKamBgzD+KQ4C/EZsZjNZknvG7kKSqAsr8HYdgUgghIRQvM3byEJp5pdSvzP+/7772PLoS24fcXtIY9htVrR0NAAhmGQnpaO7OxsUBSF5pZmQOS0FbQCHO+7KPBhDKrWqJGYmAiO43DlVVeCYRgwTgavvfcaqoxVsBgscKlcONJ2BIuWLsKGdzfgRMUJ7Px5Jx5Y+QBKS0uRkZHhkyU1FIlmL6/XXnsNJpMJq1atwtdffw2KomAwGAKmOAuZZ+3t7TCZTNi1a5eniDHcLs633x76NRwKco2hkMLG0xD/QDsQeiFif17El112GXJn5Yb0tyaTCQ31DWBZFukZ6YiPj+/ReFLsQtXDQhE5JkVR4MF7rBAhYGtjbXjzvTdhhhlIBLKnZ+NAywH847N/YO5v5qIgtwB/vOWP+Orzr3Ds8DE4nU5MnTpVtk+tkSDl5+B5Hn/84x+xevVqXHfddZ44SbBzeKc4A/A0z5w0aZInxdlisfTo4uwtMv6WzaWXXop169Z5ilOl+ExyjaEQl9dpglQV7f1Fd3c3mpqaMDJnZMDjPM/DaDSiod69T3tGZobHreEPBSosayIQPSyUfvjakpKTkJScBB48ltzi7mBrZs2487E7cbj9MHZW7gTn5JA8JhmXX3Q53v7b29Cr9Phx649YsmQJOjs7ERsbO2gq0qWkubkZ3377Lf7whz/g+uuvR2JiokckwtkywDuWKKQ4//nPf/bZMsC7lsY7xVmpVMJgMOCuu+4CTdOeJ3ax95xcHx78hY64vIYgg3WP9kOHDuGH3T/gDzl/8Hmd53l0tHegvqEeer0e2TnZffZSioaFIswl4vEinJNCoUDWSHeMZsZMd+uVTlsn/vruX+FSu1DWXIZWZSuOtR/D888+j5LJJbjikiuw6u5VeOOvb6C9vR12u90nziMn/BfLCy+8ELt27YJKpYJCocCoUaNw77334rLLAtcn1dfXg+d56PV6tLa2AgDOPPNMyeYTCCHF2X8TLSHFuaWlBZ2dnWhubvZJcfa2aMJJcZaroPi74khh4xAi1EC7XDn33HORNjENNtYGwH2xtra0orm5GbFxsSjIL4BaE+LFSon3zftbKBRFiY7LSInwJJiWloa0tDRYXVYsu3sZAKC8oxzjzx6Pg+0HsePHHThReQJ3/PEOPHjfg1ixbAUojsK+fftkW6uyatUqrFq1Ci6XC2+88QZuuukmTJw4Ebm5p1yiZrMZMTEx+PTTTzFs2DBcddVVuOuuu0SfW8ziLaQ4P/XUU9iwYYOneNM/xbmhocGzW2mg7QL879vBEkPhOG7QJpYMnpUyyvi3jg+n46+c+OWXX/Dvf/8brItFQ30DSn8thcPpwLjx7rbsIYsJpFn8KaqnhTJYUKlUOOecc8DxHGacOQNXLboKDeYGXHDtBTAbzNhbvxebdm9CtbEaKx9biTf/+SbsLjtef/11WK1WOByOsLsGR0pvwq9UKrF48WK4XC5PV+nGxkbk5uaipKQEjY2NWL58ObZu3Yrf/va3vc451C0Dxo0bh/vvv1/UlgFff/21z2Zn/l2cJ06c6OniPGrUKOh0OphMJlRWVnq6OB88eBBVVVVoaWnx1NfIjUDiK8d5hsJpLSiCW8tut6O0tNTztDMYhUQgJiYGOq0OBw8eBCh3DUlWVlZENRuSubx4CYPyiF7GXKiMGTMGOp0OKcNSsPDGhei0deKyRZdh3JnjcKjtEH5t+RVV5iq898V7WLhsIYx2I1597VUcOXIELMuioqIiKvMKds06HA78/e9/98z9119/xUMPPYS//e1vMBqN6O7uxoYNG/DNN9/gH//4R69Px6FuGbB7924kJCSI2jJgzZo1nh0+e0NIcR4+fDhGjx6NwsJClJSUYOrUqcjJyUFMTAysViva2tpQV1eHXbt24ddff0VFRYWnD1p/CX8wBut6489p6fIShIRlWU+g3Ww2y9bHGgoMw6CqqgpdXV2YOXMmDIkG0a46yYLyXGh1KIMZnV7n+f9Lb10KB+9A8exiTDpjEiq7KoHhQB1bh/bydjx030P49/v/xpeffgkVrcLCaxdi+/btmDx5cp9xrXB47rnn8Morr8BkMkGlUmHx4sXo7u5GSUkJ7rvvPuTl5eH222/HNddcg5aWFmzYsAHDhw/vdcxQtwywWCy48847MX/+/Ii3DDAYDKLuR++YS2pqKtRqNTiOQ0ZGhk+Kc2dnp6fPnEaj6dGKpj+TMwb6YUksp5WgBOr4K/zXn8WHUmIymcAwDA4cOICcnBw0NTXh6Veexv+9+H+ix5ZCXCm65573YkRKbjGYvqAVblGfPXu257UX33gRDeYGpBakgud4HGg5gOffeR4PZzyMuuo6fPKfT/DXl/6K7T9ux8iRI5Gbm9vnXh6BHobuvfde3HPPPfjwww+xceNGVFVVITExESqVCnl5eQCAm266CS+88AJKSkowZ86cPj9PqFsG8DzvWcgj3TLgjjvu6HM+4SDEUPxTnAW8uzhbLBY0NjbCYrGAZVmfFGdBcKIZOB+sD7anhaCEEmgfbILS1dWFyspKz17UM2bMAEVRSElJwbBxw+CAQ5LzSBKU56RzeQ0lMjMzAQAcz+Ghxx4CBw7JOcm4YukVONx+GD9V/IQJiglwGpyYf+587N+7Hwd/OQhjhxG//e1v0dbWhqSkpIBCw/M8TCYTKIrCjh078NRTT2HOnDmorKzEuHHj3OflONx6662YP38+du3ahXfffRcLFy6M6LP4bxnA8zwYhol4ywCe51FUVITS0lLJFldhq91gBOriLOAtNML2zd4pzt4WjZRdnAcbQ1ZQhEJEwSIBeq8f8W+yGK05ibnQeJ5HW1sbqqqqoFarkZubi/j4eGzfvt0zbldXF0pLS5E/MV/8hCXI8uphoZye91nIaDQajxXwu4t+BwBgwOCDTR+gyliFWkctzJwZZR1lWL5sOR5+4GEkxiXi7fVvY+mNS2G98UYM+/hjuBISsMVoxBNPPIG1a9cCAJYvX47HHnsMCxYsAE3TePbZZ1FfX4+tW7di3759uOaaazB16lSMHz8+7Hn7bxlA0zTWrl0rasuAL7/8UvJizUjHC5bi7HQ6PZln7e3tni7OCoWiR3eAcFKcBytDTlAiLUSMtoUiPJlHckHxPI+mpiZUV1cjNjYWEyZM6LGNrDB2a2srfvrxJ0kERQr3koLu2WlZlEhJIHKDESG9uaCgAABgcVrw7KvPAgDajG0YOW0kjhmPQbv1/4GJA2hjB7ri9DCajehq70JTUxOWLVuGv/71r/jggw+QlZWFV155Bd999x0MBgPOOuss3HHHHVi0aJFnG4Fw8d4ywGazobCwMOItA3ieR3NzM0aNGiXiW/MlGjFSYddS/y7OLpfLIzRdXV2or6+HzWbz2Z1TEBvv63mwX9tDSlB4nofdbo+oENG/a6/UCIIVTqBcaMh34sQJJCcno7i4OGAFrbdYFRQU4O6774bRbhQ952i1XglXpIZqIF8qtFotvtvyHRYuXIiauWci5cef8Py1l+LX+fNRaanEoeOHUHW8CiMKRmDKWVOQlp2GCRMmYPXq1Rg3bhwYhoFGo/HUrQQjnC0DjEYjmpqafAQhnC0DHA4HHn30UWzatCmSryQg/VmHolQqERcX12PnVJZlwTAMLBYLTCYTmpqaYLVasXv3bnz//fdoa2sD4C5QHjt27KArcBxSacPCxSKk/YZz8UTbQglnfJfLhcrKSuzYsQMOhwMlJSUoKCgI2o7Be+GvqqoKugdIuESj9UokN3SP/mKDKSofRWpra7H95+3QaDQ4e87ZUNAKtN10M67JyYbz7rswbrw7VjKhaAJ+d/nv0GHrwD2P3wNDlgG/Nv+KGnsNyjrK8Pjax/HEi0+g296NBx9+EB0dHTCZTKirq4t4bmKtAa1WK6mYAPLo5aVQKHqkOBsMBkydOhWXXHIJ8vPzYbPZsGbNGpx55pk499xzB3S+4TKkBAWIPDsi2jGUUJ727XY7ysrKsHPnTigUCsycORO5ubl9PqV4j52QkBBSryWp5tznGBK0XhnsbgCpqa2tdTdYdLrQ2eW2EKaVTHPvlMj3/hQeExMDtca9o+Pvr/k9LE4Lfr/497jouotQ0VUBQ44BVUwVNu3ahNXPr0aLpQWPPv0ofvj5B/A8j82bN4f0e4gVFIvFgocffjji9wdCjmUBgsjRNI2CggJccsklyMjIwPvvv49du3bhu+++C2kcjuMwa9YsUBTl8yDwzjvvIDc3F3q9HjNmzBC9LXNfDDlBiZT+iqEEwmq14vDhw9i7dy8MBgNmzpyJUaNGhdx+wXvuCQkJmDVzlkSTjkLrFQmsntMVm83dTueTjz9BeXk5ckbn4Le//a37IH/qGqOp8G9rinYvtAsuXABaSSOvMA8r7l+BenM9xp81Hq4kF3ZU7cAbH72BWlMt1v5jLZ5+4Wk4WAc++ugjtLe3g+M4z/UidvGmaRqjR4+O+P2BkKOg9LVbY6jzffHFF3vUMP30009YtmwZXnvtNXR2duKKK67AhRde2MN1KSVDTlDEWCj97fIymUw4cOAASktLkZKSgpkzZyIjIyNss9xbrCoqKvC73/5OkjlL0nqFpsBzpwYRe0OfrmnHFosFN910E5wOJ1bcsQKTJk0K+Hc8x3vEQSrGjh2LxKRE6Aw6PPT4Q2hn2jHl7CmYsWAGDrUdwg9lP6Csowybft6E8y49D932bny28TN3twa427yE+5vpdDosXrxY0s8hV0ER27r7KmmJAAAgAElEQVS+rKwM69at6+HqXr9+PS6//HLMmzcPGo0GK1euhEajwSeffCLJ3AMx5AQlUqIdlPdeCDs7O7F3714cO3YMWVlZmD59OoYNGxbxxe499pgxY/D1119LPudIoSkaLOfb1uJ0FIRI2bF9B9avXw+DwYC///3vUKkDt9ARvtO+XF5SYTAYkJjkTqFdfONiaOO0yMjLwJpX1qCiqwLtqnY08o043HIYcy+bi8buRnz1/Vd47Y3XALh7gglFkYGoq6uTzHUrEG5STH8QqHV9OILCcRxuvPFG/OUvf0FCQoLPsQMHDmDq1Kmef1MUheLiYhw4cED8xIMgr293AOkPl1dbWxt27dqFmpoajB07FtOmTUNSUpKkT+0WiwXffPONFFOWJLvK30IRO6Qcenn1B//58D9oamrCuPHjcPHFFwNA33tknHRRRuLykgqh+ejUqVORNSoLdt6ODZ9tQLOtGXwSj/j8ePza8iue/+fz+N/R/+GXsl9w1R+ugpN1Yv/+/Th69CgAd/fnaATl5Wih9Oby6ouXX34ZI0aMwOWXX97jmMlk6pHOnJCQEFWX15BKGxZDtILyHMehqakJbW1t4DguYA2JWLwFxW63Y8/uPSiZUyLJ2GLjHWItFLvNjvqGenAcB71O7356G6J64nQ48csvv2D6jOlISU0BRVE9njr7gufksWjyPN/jgUTYIoDlWay4dwUAwGF34Nrl1+Jg20F8f+h7JBgSoE/XY8F5C/Dko08iPzcfRw4ewRVXXAGz2Syqv5dcBcXfQglVUMrLy/H8889jz549AY/HxsbCaPQtH+jq6vLZvkBqiIVyEqktFJZlceLECezYsQMmkwmpqanIycmRXEwA37knJSVh9erVkoxL0RK4vBR0zxhKCEPabXZUVlTiWNkxxMbGIjEh0b1JWGcHGIbBoUOHcLzsOGpra9HW1garxTpo2+S7XC4YjUbYHXZs/nYzOJbDOeec02ejRm94uBdLjufk0Y2ADy1eptaokTM6BwAw97y5mDJzCtqZdjzywiP417f/wrGuY6i0VuJ4x3HceNeN+PcX/0ZLVwvuuif8PVvkuB+Kv8vLbreH7PL66aef0NraisLCQqSkpGDKlCkAgIkTJ2LdunWYNGkS9u3b53Ou/fv3B42/SQGxUE4iVQzF6XSitrYWDQ0NSEtLw/Tp06FSqXD48OGouWq8LRSz2YwVK1bg4f+TJuVS6hhKXze03WZHfX09zBYzMjMzkTM6BxzLgWVZxMXHged4MFYGBeMK4HK6YGWsYBgGzS3NsDE2cLy7Y6xOp4Nep4dWp4VWo5U8UC0FwhPzl19+iY72Diy5cQkeeugh0WMOpMvLex5ihG3s2LG4//77AQDZ2dkwO8144MkHwPM8yrvKkT4lHSzHQkGHvhGVHOpQ/BGzW+Pvf/97nHfeeZ5/C3GnzZs3o6CgABMnTsT8+fNxww034KyzzsLatWths9mC7topBUNOUCINJIu1UOx2O6qrq9HW1obMzEzMnDnTJ+03mjEa78+s0WhwzdXXSDauWPcSraDhcrp8Xgv0+9htdtTV1cFitXiEpDfxoSgKKrUK8WrfthdCx1ir1QobY0NHZwfsNveeGlqt1t1lVu/uNDvQTfzuv/9+3Hzzzbj4ooslEzy5LJqCxRQpjY2N2PTlJtx0800+rwudglNTU7FlyxbMO39e6HMaBC6vcCwUoYWLgND8dsSIEYiJicGZZ56JdevWYenSpWhsbERRURE2bdrUo3pfSoacoERKpDEUq9WKqqoqdHd3Y9SoURg7dmzAGzqa6a7eYyuVShQVFcGOvjcmCmfcSKFpPwvFrw7FZrOhvq4eVsaKjIwMjM4d3edN39ucvDvGwquPH8/xsNlsYBgGZrMZra2tcDgcoGkaWq0Wer0eOq1bbCLZjCxUWltb8cGGD/CnFX/Cvffc64mViEVYLKORNhzpfMSg1+s9XZEDoVAooKLD+50Gg6A4nc6w04YFsrOze3zvixYtwqJFi0TNMRyIoJwkXAuiu7sbVVVVsNlsyMnJwfjx43u9WPvLQnG5XDjvvPPw5bYvxY8rQRGiv1AL31EPIUnsW0hOTioiKJpyWyZ6HZJwqjU5x3JgbAysVqun/5TT5XR3i9XpfSwaMft8Hzt2DC6XCwUFBSguLgYApA5LjXi8YHA8J5veZ2IW7/j4eMyaHbxAt7CwEMXDi8MaU46C4j+ncLO85AYRlJOEGkPp6OhAVVUVAGD06NE92ln3Nn60LBTvRVulUmHvnr1osjSJHlcqC8U7KG+z22AxW3D8+HFkZmZidEKIQhIlaMWpXf28cblcYKwMGIZBe3s7rFYrOI6DWqWGVud2nTkcDuh1ve+wWFVVhexR2ejs7ATLslAoFDjrN2dJ/jmErCrZuLwCZHmFw68HfsXf//F3vPzyywGPf/jvD7FTvRO33XZbyGPKsQ5FisJGOUEE5SS9WRA8z6O1tRVVVVXQarUYO3Zs2H7IaPYK8xfD999/H+dcfI74m0eC1itCUN5ms6Gurg5WqxUqlQqFhYWiG0VGE6VSidi4WMTGxXpe43neJxHAarXCbDajobGhRyIATdNQq9V48403cfufbscZZ5zRL/OWi8sr1CyvYBRNLMLzzz8f9PiCBQtQmFwY3pQGgYUy2AVFXnItAVI2h+Q4Dg0NDfjf//6H1tZWFBUVYdKkSREFtaJZie9vSZQfL/ctJhQxrtigPMux6OzoRHl5OZKTk1GQXwClSim7GzsUPIkA8fEYMWIEEhISkJWVhfHjxyMzMxN6vR4Mw2DPnj247dbbcOTwESxduhQ0TaOrqwsOuyPqRZlycXmJzfLq7OjEkcNHgh5nrAwcjvB2JZWjoAQKyhOX1xDA20JhWRZ1dXWoq6vz5HeLfWroT0F57LHH0GBukGTcSGEYBvX19eho74Bao8aECRNAURScTueQK0ykKAparRabv9kMlUqFBRcuwNQpU6HT6WCz2WBlrD0SAYQ9zSVLBPBuDikDtw4PcS6v9vZ27Nu3D0UTiwIe//HHH9GV2oWrr7469DkNEkFJTZU+ttZfEEE5CUVRcLlcqKioQFNTk08NiRRE2+XlPfbChQvxyPOP9Og+GgnenYJDgWEY1NXVwW63IzMzE+kZ6ThRc8JzI8vthhYLz/F4++233dvnTpvq+c71Bvf/CokA3rCs2wUoJAI0NjXC5XJBqVS6BUZEIgDPibMMpETMbz02byzG5o0Nevzqq69GUWpgsQnGYBAUMVlecoAICtwZRzU1NWhra0NSUhLOOOMMURk9geivoDwA3HP3PdCoxV+UNEWHLCj+QhIfHw+KoqCgFUOyOaTVYkXZsTIUTylGYmIiHHYHMjIyQnqvQqGIKBFASG3WarWgFb5WiOBi6q/mkH0hdvE+fOgw9u/fj+uuvy7g8e+++w6WHEvYsSk5fDfeBIqhRDNtPdqc1oJisVhQVVUFk8mE9PR0OBwOjBw5Mirnomna7e6JAv5ilZ6eLkkdCtD34h9MSDxz829fH0EqspwWAbvdDo7l0NbWhu3bt6N4SjEuueQSScYOJRGg29gNm80Gnueh1qg9qc0OpwPg5VUpL8bllTosFRMnTQx6PDEhEbGxsUGPDxYCubz6bAIqY05LQenu7kZlZSUcDgdycnIwYcIEOBwOz37O0SDahY3e8Zmbb7oZT736FJJTkkUOHFxQrFYr6uvr4bA7kJmZibj4uIALf7itV+SK8CT5t/V/w5ixY3DBBRdg8ZLFUT9vbx0B7HY7GIYBY2VgNBrhcDpQU1MDm82GxsZGT9aZSq3q/+9dZJZXUlJSryn5JdNKMCF1QsTjywXi8pI5wS5inufR2dmJyspKUBTVo4Yk2vuh9FdhIwB89dVXqDHWSDKuvzFhtVpRV1cHp8PZq5AI+DeHBAafy4tlWfxx2R/x7F+exbJly3q4mwYCIRFAq9UiMTERGq0GTqcTGe+9j8UHDsD61ttoWLQwYCKAkNocTdeK2Cyv77//Hnt278EDf34g4PFn//IsLp15aVT7UvUHpLBxkMHzPFpaWlBdXQ2dTof8/PyApvJAbgEs9djvvvMuJp8zWXTPHu9xwxUSgR5xGAlqW/qL8vJy7Nq5C9ddfx0effTRHntLyJGs3btAA4jZvBmZXouxdyJAV1cXrI1W30SAk0kAYjsCCIjtsHD++efj/PPPD3r89uW3o3BYeHUocoQUNg4SOI5DY2MjampqkJCQgKKiol6zngZiC2Cp8BcUs9ksybkoUHA4HSgrK/MISXxCeIsqRVODrq383r17kTYiDampqRid697XPC09bYBn1TvCk27ttBJk7t4F7uSmXALBEgGcTidsjLvHWVtbGxiG8SQCeETmZOZZuAWTYlxetSdqYew2orAwsGg0NjQiW58NnU4X8PhggQiKzGFZFjU1Nairq0NqaiqmTp0a0g8U7b3Ko53l5S0gy5cvR1VXlagxrVYrGhob4HQ4kZubG7aQCChohY+FIkWxZLSoPVGLrJFZaGhwV76nZ6T3W4W7VBy66Hd4SavBk3eHtl+ISqWCSqXqkQjgdDg9Pc68EwE0Wo1ParNGowkoHGKzvNra29DU1BRUUP773/8iFamDumYDIC4v2dPZ2QmO4zBjxgwolaF/vGgHLaNtoXiPvfTmpbj+9usxKntU2GNZLW7XlsvlQmJiIjiOi1hMgABZXjIMyrtcLnAshzVr1uCFF17ARRddNNBTChufXl4is7woioJao4Zaow6cCHAytVnYGsATz/FKbeY5cVleQgPNYNx2623IT86PeHy5EMhCIVleMiIlJSXsbVP7g/6Mofz5z3+GXR9e2rC3kAgxks7OTphMJlFzU9CKqLoSxbJj+w7897//xZ8f/DNee/21gZ6OaKLZy8snEcBrbwBhawArY4XJZEJLcwvMFjOM3UbEdMb4dG0O9SFv27Zt6OrqCpqS/d577+Ha86/F+PHjJflsAwVxeckcOT4BA/0bQ1EqlLDBFtJ7AwmJN2J7glF0dLPnIoFjOTz33HOYP38+ppVMQ/GU8Nqgy5mBKGz03hpA4ETNCcTFx0GpVIJhGHR2dqKhscGTCCBkmgVLBMjPz4fDHrxXV25uriwfHMMlUGEjcXkR+qQ/LZRnnnkGFy++GHn5eUHfY7VYUVtbC5ZlkZmVGTAjTIoCOTlaKBRNYektSz3xg8FcmezBq5eXHJpDAu5EgJiYGMTExPi8LiQCWBmrbyKAWu0RGI1ag7jY4FmKs2fPRnpieshzkWtmISlsJERENC0U/9Yrb7z+Bo53Hg/4tx4h4Vi3RdJHarHY9E85WigOhwNHDh/pdQOnwQrPyag5ZBBLKZREgE8/+RRWqxULFiw4lQhwMutMo9HglptvwTOrnsGMGTNCmo//3u1ygbi8CBHRnxbKhg0bkFaUhszMTM9rFrMFdXV1IQuJVHOWo4XisDvw888/DylBEVwnHM/JojlkuFle/okAy/64zDOOJxHA6u5x5rA7sHz5cuj1epw4cQIGgwExMTFQq9W9FjbLQWj98f+enE5nWMlEcmPwznyQ0Z+tVzRqjcftEYmQnBpYvKtAjhZKbFwsVq5aOdDTkB5q6PTyOnjwIBQKBcaNGxcwEeDIL0eQmJgIpVKJzs5OTz85wc0m1NzExMRApVLJstMw0NNCoShKlsIXKkNOUMReNNG68PozKH/VVVdh34l9OHr0KDiOQ1ZWVkSN9KSoGZGjhWIymfDqK68GbesxmJHNk7jIXl7dxu5en9R//PFHzCqY5WOFA+4UcIvFAovFgtbWVlRXV3ue+hmGQUNDg0dwpO4oHgn+giLXWE+oDDlBEYMQixjMgtLd3Y0ltyxB3uw8zJ8/X1RHVimsKo8bRkZo1Bqcfc7ZAz0NSeHhtkzksh+K2OumL3fkqpWrkJ2Q3eN1pVKJ+Pj4Hm1yTCYTjh07BpZl0dDQAIvFApZlodVqfawZvV7f74IsR8spUoigeCG4jqJxQUXb5WW327Fv3z7wPI9HHnkEJq1JdFuKSFrN9xhDhq1XVGoVpk6ZOtDTiAqCsMgCEevkh//+ECkpKZh77tyAx9esWYMn7n4CI0aMCGk8pVIJjUaDrKwsz2tCfMZsNsNisXj2oAEAnU7nERmDweBuPRPlhV+ubrlwIILiRX+6paTCaDSirKwMDMOguLgY8fHxOFx2GHa7XbygSBWUl5mF0t3djRuX3IiPPv5ooKciGcLvFK0HonDpLcsrFM76zVm91mP85qzf9EhH7nU+ARZr70LNlJQUz+scx4FhGFgsFphMJjQ1NcFms4GiKOj1eo/I9JUIEAmDXVSIoHgR7dReKcc2Go0oLy8HAGRlZaG9vd1j5n/wwQdIn5SOGWeEllIZFKmC8jKzUOLj44eUmAhQFCUrl5eYhVGn00GtCi4os2fN7tHoUqr50DTtcYMNGzbM8zrLsrBarbBYLCElApyOEEHxoj/3fY+Urq4uVFRUgKIojBkzBvHx8TCZTD6bgz304EM41HZI9LkkC8qLtVAo8VlD3jjsDmzbtg3nzwveHn2wIheXl9jf6z8f/gc5o3Nw3nnnBTx+wQUX4McvfgzZ5SVFHYpCoUBsbGyPuKSQCGA2m9Ha2oqqqiq4XC6o1WofkekrEWCwWyfAEBQUMT9INDfZEnuhBBIS77G9xeqjjz6CI9GBiRODb6EaClJc3P7NIQdyLgIsy+LQ4UNDSlCEBVw2BXwis7yW3rK01+Pff/89RsSFJiZAdBfrYIkADofDE5+pr6+H1Wr1SQSIiYkBy7IeN6XQlmYwM7hnLzHR3hMlErq6ulBeXg6apnsIiYC/oKQkp8CoNUpy/qEYQ9HpdbjzzjsHehpRgecG/1MuAPz000/ISM9AzuicgMc3fbkJS65YEnLfq4FIp1ar1UhKSkJSUpLPPGw2mye12eFwYO/evXj//fdRXV0Nq9WKzz77DIWFhcjJyZFFPCwcBtdso4ycBKWzsxN79uxBZWUl8vLyMGXKlKA7BvoLyty5c5E7Jlf0HIZqlpfVYsWDf35woKchLUIvL0Sv23BY0xG5BbDT4YSLdQU9vmvXLrAsG9Z85CC0FEVBp9MhJSUFI0eOhE6nQ0lJCZ599lncfffd0Gg02LdvH1atWtXrNgr33XcfJkyYgLi4OKSnp2Pp0qXo6Ojw+Zt33nkHubm50Ov1mDFjBvbu3Rvtjzc0LZRI4xVyEJTOzk5UVFRAoVAgLy8vpMp2/3k/+uijoNIo0fttD9UsL7VGjSuvunKgpxEVOI6TRwxFZJbXOXPP6fX4E48/EVYWo2xcgV54i5xarcaYMWMwbNgwPPbYY32+V6FQ4L333kNhYSG6urqwaNEiLFmyBJ999hkAt4W3bNkyfPLJJ5gzZw5efvllXHjhhTh+/LjorcF7Y+CvPBkR7V0be0OwSKqrq5GXl4fi4uKQf3j/ea+8dyUuXHCh+ElJlOUlRQxFShS0AqNHjx7oaUiK8DvJxeUl1iJ4+aWXe32iXrp0adgWitzcR2Ja169ZswbFxcVQqVRITU3F7bffjq1bt3qOr1+/HpdffjnmzZsHjUaDlStXQqPR4JNPPpH6Y/gwJC2USBkIC6WzsxPl5eVQKpXIz8+PuEWK98Lf0tKCdmM70jNCb+8dbFyxWV40RYPlQr/x+wMrY8Wtt96Kf/3rXwM9FWmhgDN+2Ia8gwfBuVxwhLgNcDQQm+V1zbXX9FpncsOiG8ISCLm4vLyRstPwli1bfJJwDhw4gMWLF3v+TVEUiouLceDAgYjnGwpEULzoT0HxFpKCggJJW6T89ONPaKabJREUsRYKraBFWShWixUnak/AZrNBq9VCr9ODZVk47A6o1KqIFgmDwTD0xOQk+QcPguYB+vPPB1RQxD6IsC42qCDxPI9JkyaF9dsPBkGJdD/5jz76COvXr8e2bds8r5lMph4x14SEBHR3d0c+4RAgguJFfwhKR0cHKioqoFKpRAuJgP/Cv2TJEuxr2id+XAmC8pFaKDabDbW1tXDYHcjKyoJGo4Hd4W5jznIsampq4HA6oFAo3FvM6nWe/cxpRe9Prk6nE1988YXoGJOcEGIWR8ZPQMHhQ+AuvnigpyRqAf/ggw8w74J5KCoq6nHM4XDgqouuQsWBipDHGwyC4nQ6w7ZQ/vOf/+DWW2/F559/jilTpnhej42NhdHom+nZ1dWF3FzxyTq9MSQFRUxQPloxlI6ODlgsFpw4cUIyIRHwF8JNmzbhqPGo6AaIA2GhOOwO1NXXwWKxICsrC/Hx8e5US6sNcAF6rR5KSonRo0eDVtBgWRaMlYGVsaKlpQU2xgaO5zzWjE6vg16n97FmeI5HU1OTqM8lV7afeSa+njQRt91224DOQ2yW1z333hP0mEajwY7tO8IaTy4tabzxF7lwLZS33noL99xzDzZu3IjZs2f7HJs0aRL27Tv1UMnzPPbv34/LL79c/MR7YUgKSqREo7Cxo6MD5eXlUKvV0Gq1YZvqoeC/8GdmZqJL1yXBwBIE5SkqoIUSaGOhhvoGGI1GZGRkICcnx/1eFwvGzMDO2D1/zzpYWIwWz94RSqUSCXEJSE5MBq2kQYGCzW4DY2Xc1cstrT2smUWLFoFjuT6tmcGCp5cXL48sL0CchfLZZ59hesl0pKWn9Thmt9vx4aYPcfuS20MebzBYKHa7PWQLZe3atXjsscfwzTffoKSkpMfxpUuXYv78+bjhhhtw1llnYe3atbDZbFG3yomgeCGly6u9vR0VFRVQq9UYP348YmJisGPHjqhc2P7jTZw4EVwTBw7iPosU86Tp3i0U1sWisakR7W3tSEtLQ9bILNA0DdbFws7Y4bK7gqcd8wDHcj3qXCiaAq2godfqERsTC1pB+1gzXV1deOjBh3DnnXf2ac0MJoReXoNx7v5otdqgbUpYF4vq6uqwxpOjoIjJ8rrjjjugVCpxzjm+6dVmsxkAcOaZZ2LdunVYunQpGhsbUVRUhE2bNkU1ZRggguIDTdNhpSL6w/O8J0ai0Wg8QuI9fn+Y3uvWrcOe+j24/U+hP8EFRWyWFx0ghkK5haC5pRktLS0YNmwYiiYWub8flgNjZuC0O4Oe25N9FmR94DkeLMeCdbJwwuk5J62goVQokZqUihV/WoH8gvyQrJlQYzNyQKyrSS5ccMEFQY/pDXo8cH94m6PJUVDEWCiheA4WLVqERYsWRTy/SCCC4oXQTydc+hIS7/H7o87llltuwcyWmeKr3KWyULw+M8dxcDldOHjwIJJTklFUWASF0r2ro81ig8PmEC1iAeEBzsWBc3HgeR56tR6WTsspa0YX2Jrxjs3wPA+NVuMRGtbFymaHPU8vLxm5vMSwauUqLFu2LGDrlfb2dqxZuQb/eec/IY/HcZwsdmj0JlDasFarHcAZiYcIihfhurxCFRKBaDaf9Ka2thblteXIzYtuRkcoCC4vnufR0d6B+vp6cDyHwnGFUGvU4DkedqsddsYeHSEJgMvlwssvv4wnnniiT2smMS4RyUnJoBU9YzNGoxFdXV1obm72iIxBb4BWqx0wa2aouLzuu/8+xMUGds/ExsRi+fLlYY0nx8LGQIIy2NveD0lBifSGCnXB53neEyPR6XR9Con3+P3xRFteXo7SslJZCAoFCi6X2yIxGAwoKChA2fEy0DQNO2OHg3GEX6dCiXNhqFQqPPHEE8H/wMuaceGUxepvzfAcj5jYGMTExMDG2GBlrGhubobN5rZmtFotdDod9AY99Do9lCpl9Bb7k18hz8ujl5dY2tvaYTAYoELPBZaiKQwfPjys8eTo8goUQ4m0sFEuDElBiZS+LBR/ISksLAxrk5/+Kpw8//zzkTYpDQ7OEfVz9UZ3dzeOlx8Hy7IYO3YstFoteJ4H62Rh6bKEd4NLuBawHItvvvkm7PY0/taMw+oAwzNQ0+qg1ozVakV3dzdamlvgcDqgVCp9EgCktGYoyu3yUlGD+ykXcNeh3HrbrQH3O2lqbMKjzzyKTR9tCnk8OfbyChRDEbvL6kBDBMWLYDEOsUIi0F8Wyk8//YSv9n6FK66+IurnCoTVYkXNiRpQFIXs7GyAcmftOO1O2K12cA4OLMdCqYj88hMbH3I6nKLe701v1kyMLgZxMXGe2IzL5fLEZnpYMycTAMRYM3J8Eo+ERx59JOixrJFZ2PD+hrDGGywur4SEhAGckXiIoHjhb0HwPI+2tjZUVlaKEpJg40eLkSNHYqJD3OZakcAwDGpra+FyupA1MguxsbEwm81QKVQwd5nBudyfXWyPMLE7NypoBS655BJRY/SFtzXj4WRsRqVQISk+CXQyfcqasbldZt3d3WhuaobT5exhzeh0uqDuLCG7i+eGhstr/fr1uPr3VyMuvmccpa2tDXs378XNC28OeTw5Ci1xeQ1xhBiKt5Do9XrRQuI9fn9YKJmZmRivHn8qyBxlHHYH6urqYLFaMDJrJOIT3D2EXE4X7GY74gxxHjGRAy7WhaeefAqPPBL8KTgq9BabUXpZM0rak3Hobc0wDAMAAa0Zzylk+CQeCZmZmUF3L+RYDlarNazx5CgoUjaHlAtEULygKApWqxU7d+6EwWBAUVER9Hq9ZOP3l4Xy5Zdf4vWPXscTz/QSeJYAp9OJ+vp6dBu7kZmZiZzRp6rb7VY7XA6X+/P6aygl0mUlsoJfoVDg5qWhP91GG57jwTpYsAhizST0bc24XC44XU5YLBZ3rGqQWyoLFiwIemzY8GGYtWRWWOPJVVC8RTPS5pByYkgKSrgXjmCRlJWVgWVZTJs2TVIh8Z5Xf1goF110EcbOHAurK7ynuFBhXSwaGhvQ0d6BtPQ0jBo1ym3dsRwYKwOX/dTTd6DmkFK0xRfLQG+k1ife1oy9b2umuqoaeoO7E7PZbMaRI0cABLZm5LawBuKaa67Bm2+8GdDldeTwEbz20Wt489U3Qx5vMPTyIotRWJIAACAASURBVBbKIIfnebS2tqKyshIxMTEoKChAbW1tVMQE6D8LpaGhAdv3bsfkksmSjsuxHJqam9DS0oIRI0acqm4/WZQYqLpdjhts8RyPt956Cw+vfnigpxI2wawZl90FZYwSsYZYJCUnYdy4cQAgOjYzUKx/c33QVPzs7GysWLEirPHkaqHIxeVlMpnQ0dEBh+NkJqJeD4PBAIPBENb3dloKir+QTJw4EXq9HgzDRHXBj7aFItw0nZ2dKDtWJpmgcByH1pZWNDU1ISUlxVPdznN8n9XtNEX36MVFIYLvwavVCgVxFg5N04NSTIJysqcZ62ShoBRQQglzpzmgNaNQKOB0OkOKzajUA5d+fPToUUydOjVgAgbHc0HjK8EYLILS3y6vlpYW7Nq1C99//z327NmDiooKdHd3IykpCRMnTsSll16Ka665JuQY8mklKMGERCDaFkQ0xxfEiqIoTJgwATel3QSTwyRqTJ7n3UWJpQeRkJCACYUToFQqwfOhV7dTtHvx5yFuBz+p+1N99NFHuOKKgUmrjiY8d6qXV2+xGbVCDW2CFnQy7WlJIidr5uOPP8bk4skBa3TKysrw4bcfYu3za0MeT46CMtAuL4vFgtWrV2P79u2YNWsWli1bhvz8fGg0GjQ3N2PXrl3429/+hieffBLPP/98SK3vTwtBEYSkoqICcXFxmDRpUsAComgLSjQtFO+xDx8+jBffeRHL7lwW0Vg8z6Orqwu1tbVgOdbdJkWtBs/zcNgcsFvtIbuxKFABK9vFBOWlWBj0hui4NQcK7y13e/1+vGIzsJ96maIpKJQKjzWjUCpAK+herRm9wS0wer1e8pYhTz/zdNBjxcXFuPbca8Mab7AUNvanoNhsNmRkZKC0tLTHsQkTJmDu3Lm4//77sXPnTrz11lunr6B4NlLiebS0tKCyshJxcXGYPHlyr5Wo0W7eGE1B8Z57Wloa5l8wP6Jxuru7UXuiFhqtBvl5+Th27BjUarVbSBg7eDaCjcuok12WTz5thvs9RGMhWDA/eBbRYCbS5pA8x8Pl8GuMKlgzysDWjMVqQXd3N5qamuByuTy+d51OB5ZjI84043kea55agwcfejDg8fLychxtOIprrwpdVOSYTi3Fjo1iSE5OxsMPPwye53v9fmbMmIEZM2aENOaQFBSe59Hc3ByykAhEu3ljtF1ewtixsbHIzc0Naz8Ui9mCE7UnQFM0ckbneFyBnIvzKUqMaG60xEIqgb7cf//9ePrpp2X31BoxQi8vKZtDelszXlAKCgqFArH6WMTHxUOhOGXNWK1WWC1WuFwuT6aZTqc75TLT60KyZqZOmxr0mEKhgEIdXufgweDy6m8LBTglasI8Wlpa4HK5oFKpPP+p1eqQLdAhKSidnZ1ob28PWUgE+sNCiXYMBXAHNJc/sByvrH+lz/cxDIPaE7VwsS6MHDnSk1njcrpgt9jdPngXKyr+IVgopyYL0WnDYn+ne1feOyT2DfFn1vHjGPfjD2AbGuC6/vqonINnebjYntaMQqmARqmBJl6Djo4OjBs/DuDd15iVscJoNKKxqdG9YClVPgkAWq3WY81QFIX584Nb2Dk5ORg/bXx4c5ahoMghy0s4v8vlwsaNG/Hiiy+itbUVNpsNCoUCJpMJM2fOxKeffhpS6vWQFJSkpCRJ92yXimgKlregFBYW4t1330WXLfg2wHabHXV1dWBsDLIyszzV7ayLhc1qA+s4GcgV2dkX6Jk6LIcbu6uzC8nJyQM9DckpaGwAxQPKH36ImqAEhAdYp7vVDMuxYO0szB3mU9aMwc+acThhZaywWq0wdhlhs9kAwBP0X3bbMny+8fOAT8bfb/ke/+/o/8NTjz8V8vTkWIciB0ER7u0DBw7gzjvvxLXXXos5c+aAZVn3nkAMg9TUVAAI6fsbkoIiV/orKN/Z2YnPP/8cv7ngNz3+zul0oq6uDiaTCZmZmRidOPpUdfvJLXd9xpXgMT5Q6rAYKIoS3Rzy448/xj333gMFLa9NlyJF6OV1eEQaJjQ3gf1Nz9++PxGuG4814/A56LFmdIk6KFLdIiNYMxarBevWrUNlZWVAa2b6jOkYc96YsOYjRwtFDi4vYQ719fUYPnw4nnnmGVHjEUHpR2ja7WeO1tiCoDidTtTW1vocZ10s6hvq0dnRifSMdGRnZ3uq221Wm7v7bqA1WnBPibgX/WNH/dUxoDdWrVo1oOePFj/n5qJx3vk468yzBmwOfW5D7GXNeCNYMzqVDkfrjmL27NmgaAoup8vHmmlubkYb3Yb8sfmIiYnx/NdbDYccBUUOdSjCdzJixAgUFhaivb0dSUlJEX9XQ1JQ5HbhCETbQhEW7WHDhuFPt/8JHbYOd3V7UxNaW1sxfMRwn+p2u9Ue0pa7YuZMff0VKKsV1FtvA7e797iXwuoR+z1+8MEH+P3Vvx8yFooAx3OSfL+i4CP7jQVrxmK14MCeA5g8YXJAa6amugY1rTU4b+55MJvNaG9vR01NDZxOJ9RqtY/I6PV6z8OW3NYFf0Hheb7ftykWvpPp06fj4MGDuPTSS3HjjTciJiYGKpUKFEUhJycHEyeG1r18SAqKXOmPwkYAaG1txbI/LcOf7v8TmpuakZqaiqKiItAK93a8NqsNDia0vdspiHAv8RwUmzeDBoD9+wGLGTC4g/6i6lAkWDBHpI0Y+IVXYoQeaXJYOMXMwaA34IYbbnD/I4A1M23yNIxLHQeWZREXF4ekpCQolUrQNA2HwwGz2ewRGqErsbC1QmxsbJ/WTH/hL3ID8bsJc6iursa3336L0tJS3HfffbDb3UVKJpMJ119/Pd59912wLNun4BFB6Uf6I4bC8zwsFgvmzp0Lh8PhW90ewZa7Yho5Uvv3A51dbq8Zy4L6+hvwJ6vTB9rldc7Z5wzo+aNFn+6mQTCH7u5ufPbZZ1i4cGHA44cOHUKbog2zZ8/2LHyA+4FNqVRCrVZj2LBhSE9P91z7O3fuhFqtDsma6S8CWSj9DcdxUCgU+Oqrr1BaWoqKioqgySqhWE9EUPqRaFfid3R04NChQ4iLi8MZM8+AIdVwqro9wqLEyFvN86A/+xwAQMOtSYrvvoXrgnmSLHhib7577rkHzzzzjOQV3gMFD96zBfBAZzOJTZhQa9QoLi4OetxgMCBO3bMLMcdxcDgccDh8t74W+peFYs1QFAW9Xh9ybEYM3hbKQD1gCed3uVw444wzkJycLMo9SAQlANHyt0bLQuno6EBbWxucTicmT56MsjIWV/3+v7jz/hkYlcVg+DAOka4xEVsoZcdB1dQAOh1ohgEXFwd0d4Paug0onjzgFsrjjz/uszHVUEEunZ3F3D8atQYFBQVBj2dnZyM/OT/k8ViWhcvlgtls9rwWzJrhOPfmXYLIVFdXw+VyQaPRwGAwSG7N+Lu8+tvtJZxvwoQJOHDgALZt24aSkhKwLAulUgmFQuGJpYTC0LujRCJYEdEIjkltoRiNRhw/fhxKpRLJycnIysqCTqdDTY0DWtU8vLGuBQANtZpG1kgeo0byGDmSx6hRPDIygVDW04g6AwNAfBz49HRweXmgtm4Fm5UJnmGAzAxZ7IdSXV2NcePGya5tuxQMdAzFu69YJDQ2NeLvf/s7Vq9eHfD4F198gf3a/bj66qsjPkcwa0apVEKpVAa1ZkwmE9ra2sAwjMeaEeIyQiB7MCE8PLtcLmzatAkbN27EzJkzodfroVAoYDQasWjRIlx55ZUhPWgPSUERc0P1V/GhGMxmM44fPw6O45CXl4e4uDgcPXoUdrsd7e3tmDKFwcI/bEDe5LNRU03hxAmgpobG9u00vv/ePQZNAxmZPEZm8RiVfVJoRgJabc/zReTCGD4C7FNPgfr5J9Bbt4LTaMHeu9J9rKE+8g8PaTbo+u9//4u8vLwBdw9JhbCIy8LlJfIaT09LDyomADBv3jyMTRwr6hzBcLlccLl8a7G8rZnhw4cjIyPDx5oxmUxobW1FVVWVx5rxdpnpdLoB/02CIfxWarUa1113HeLi4mA2mz3lDRzHQRtoUQjCkBQUMUQzziF2bIZhUF5eDoZhMGbMmP/P3pfHt1Gdaz8zo33zvsSL7Dh27DjOZsgGIUBIKCWEpQslDZTlErilcIEAISylBQoFElLW75LQ3gJl6WVpL6RlayiFhAZCWAyFbN5keZMt25K1LzPz/TGesSSPZEkzsp3UD7/8jD3SmaPRzHnOuz0vcnNzAXB1Jx6PBwCQnZ0NgiDg93tQXgaUl/EPNw2GBfr7gQ4LgXYL0GEh8fXXJD76aOQlBFBYyKKygkW5mftJUgppCwRJCkF5HpO9gwaAa0dSmI83SLUO5JmEtO/Y5XahpbkFCxeK9/MZGhyCg3CguLg47XOkgvGsmaysLOTl5UVZMy6XC263G/39/YI1E+kyi20eNllqyLwn5rTTTsNpp52W8LXJzG+aUGIwUXpbqSAQCKC1tRUOhwPV1dXIz88XzFS32w2/349wOCyMTVEULv3JpbB77VHjkARQVAgUFbJYvBgAaLAAHI5IkiHQ0kpi/37+XZXIzmZQUQFUVLCoqADMZhZ5+UnG1gkSJAAm4nNLXvBkeO6e+8NzWH/R+mPORREX7KjlNhUIWwoC/gCsVmtcQjl06BDYfHbCCCUeElkzfMwl0prxeDwCybS1tcHj8aCpqQlfffUVvF4vVCpVUqm5cuHrr78Gy7Lj1pj4/X6oVKp/b+mVdBfvTFsoqcwpFAqhra0NdrsdM2fORF1dHSeTMtI3nO9NAYz9vNdffz1u+9VtUFCJv2ICQE42kJPNYsECgPMlMXB7AGsH8GWTE44hEzo7FfjqaxK8gopezxGM2cyRjbmCRXERxgb/SYLL8oq5plIzgaRi9uzZx2X8hGXTk4yXHRKmkJ+fj3Xr1sU9vmrVKlTnpCa9MlFIxpopKioCRVHYv38/amtrYbfb8be//Q3d3d1YsmQJlEolVqxYgW3btmV0rm+99Rbee+89XHbZZZg/fz7y8/Oh1WpBURQYhgHDMDh06BBuvPFGbNy4EZdffvm4Yx63hJIuJkpiPhFomobFYkFPTw/MZjOWLVsmzMvlcgnFWpGIJasbb7xRkt/WoAfmzAH0BicKC9TQaAgEgoDVCnR0ECOxGQJ/202BF55VqTAa/K/gfpYxFAggSstrKkivLFu6bFLPnylMhUp5PoU5XXRYO7Bv3z786ELxoPvePXvhNrvjWjBTEeFwGDRNQ6lUChYIQRDQaDQ444wz0NDQgMOHD2P37t1CEWYqoGkaW7ZswTPPPAO/348zzzwTO3bsQH5+ftz3bN68GZWVlfj1r3+NcDiMuro65OXlgSAI9Pf3Y//+/dBoNLjnnnvwwx/+MKl5TBNKDCYzKM8wDDo7O2G1WlFaWoply5aBoiiwLAu32w2Px5Pw/ZHHFKRCsgZX7JzVKqB6FlA9iwUfFQ/TQE8PYGknYOng4jKRwX+KXAISM/Ba5xDqdhOoMLNQqwnokmtRDYDr1eJwOKBWq6HRcgFCqRbO9ddfjwcefABaTfLtDaYyhO+exaRbKFLT7nNzchM2dJpRPEOIHx4rUKvVMBqNApnEPseRwpBarRazZ89OafwHHngAr7/+Oj755BPk5eXhiiuuwCWXXIK33nor7ntYlsWFF16ICy+8EB9//DHeffddtLW1AQDmz5+PW2+9FYs533jSmCaUGGQyhhLP+mFZFt3d3Whvb0dRURGWLl0qVPh6PB54PJ5x5xRLVo89/hiu23JdSv1gRMcdR3pFQUEI/q8AMCb4/0kf/v6ZE4fd1fj8hRHfMFGKwgIalZWEYMmYKwBTTMcBv9+P3t5eAEBWdhaCwSAGBwfhcrng8/qg1Wqh0WqgUWug0WpS0uV6ePvDE66bNBGYCq1upSYGaDQaFBYWxj1eM7sG5mxzSvOZLJAkCaPROCZTSu5ujTt37sRdd92FqqoqAMBDDz2E6upqtLe3o7KyUvQ9kWvGsmXLsGyZdKt9mlBiMJExFL5FcUtLC3Jzc7F48WKhKtfn88HlciU9l1hCefjhh2Fz22SZd6oPZGTwf4myC99+9iguq6qB6ZrbYWkn8O23HvTaNGhpVUUE/4GcXKDCzKCsjIEpaxC5OcOorc2H3qBHOBwWFqme3h6YTCZQJAWfn7tOff19YBgGKpUKWo0Wao0aWo0WCoX4Lf71119jXsO8uMePNbCcIiPnbpoCWV5ScOToEezdsxdXXXWV6PEdT+3AmYvPxBlnnJHUeJNFslqtFgaDQdT1LCZdn25FvtPpREdHB044YbTL5axZs2AymfDVV1/FJRQgOoEj8jmfrpSPwVQMykdaPwMDA2hubobBYEBjY6Owg/H7/XC5XKBpOtFQomNHft7//eP/YukZSyVbKHyDrfTfzy1vLMNwwf+FLGaUuKBRh5CVlQW3G+iwAhYLgfZ2oL2NRdNXCrBMIYDCkeA/g7IyAuYKBhVmFgw96n+O3PmxYBEMBuH3+eHxeDA4MIhQOASlQgmNViMQjUqlwheff4E5dXOOG0IRMAWyvKRaBPVz6lE/J35Hxqs2XoXK7MqUxpzIOhCKomAymRISRKyFIqUXyvDwMAAgKysr6u/Z2dnCsWQgx31znD1N0pFpQgmFQvj000+hUqnQ0NAAvZ4LJgQCgaiConTGjnyQJRNJxLhSdpwsxaUNxy4y/O8GAzBnDovi4kHMqrIjJycHRmMeOrvIqOD/e39XCMF/pbICpWUMKiu5FGZzOYPSUhYKBQG1Sg21Si08XCxY0GEaPr8Pfp8fzmEngsEgVq1aBYfDIZCSWq2e9IVYEtjRDctkx1AASIrd9dp60Wfri5vO2tLagqyZWQkDzpGYSOl6vV4PvV4/7vnEXF7pWih8d1qn0xn1d4fDAZNprOZZJjFNKDHIVAaSy+XC0aNH4fP5MH/+fOEm4CUdYtMMU0XsvM877zz0unsljcmPK3EELssrssFWxGrjdrvR09sDvV6PqqoqwWKIDP6zYBHwh9HbS8LSQeDQQR/6+nTYt0+Jf7zPjUNRQEkpg/LykVRmM4uyMgYaDQGFQgGjwQijYTRI8/TTT+N73/8ewnQYdrsdwWAQBEFApeZcZnxsZqpWOMfDlChshLT7JhgMJtxZHz58GOWG8pQIJdNQKpUwmUxJW7yxbji+1iMdZGdnw2w24/PPPxcy31pbWzE8PDxujYncrZGnCSUGclsoXq8Xzc3N8Pv9qK6uht/vh9FoRDgchsvlipLflgK+PoXHrZtvxcU/vVjoB532uFL6oQCidSgEQSAYDKKtvQ0kQcJsNkOtSmzuUwqgrIxFWRmLWVVDMJrC0Gn1sPUBnVYSHR0c2Xz9FYl/fsQH/7nKf7OZ4SwZM4MKMwODgWsolGXKiloAGIZBIBiA3+eHw+FAwB8AwzJQq9SCJaPRaKa8m2yyLS2pacPmcjPM5fGD7ueuOxcVWRXJzyeDFgpBEIJYZCpgWVbWfvJXXXUVHnzwQZx++unIy8vDrbfeiu985ztx4yf8NXn22WdRV1eH5cuXi77uxRdfxJlnnpk0eU/tJ2MSIBeh+P1+YZdQXV0t5HczDAOHwwG/3y/DbEcRa6Fs3rwZPqUvwTvSGzdpuIZB3X8/2JlVnIUSDEJx000InXQSHAvmg6ZplJeXQ59K/nAkWIAggOIioLiIwYknMvyfRyr/OZLpsBJoayVx4NPRBSUnl0VZ2QmwWACzmUG5mUFuLvfdazVaaDVa5CCHG49lEQgE4A/44Xa7YbfbEabDQlUzy7LQqDVQKBWTahnwwfg1Pd1ofOxR0CtPRXjDhsmZi0QrqampCZYOC85dd67o8ddeew3nnXoeZs2alfR8MmFpxqYCpwKx9r9SCGXLli0YGhrC4sWLEQgEsGbNGjz//PNxX88Tyu233w6fz4eXXnoJ3/3ud4XjfMX+zTffjLfffnuaUNKFVEIJhUJobW3FwMAAqqqqOEXbESJxuVzweDyykwkwduF3uVyACeNWyieDtAiFZkD09YPo6wMFgBkeBrxeuHp6oFm6hPM1p0smCTBa+c9gwYLR79HtBjo7OSumw0LiwAE7/vWv4ojKf3aEXEZdZoWFLEgyIvg/EvNkwSIUCsFmsyEUDKGnpwehcAgURUVZMmq1esJJpnGkoZniww8njVCkZnlVzarCjJIZcY83zG1IqQ5FbgslXipwKhCzUKT0XaEoCtu2bUu5ut5oNGLlypW45pprcPfdd+OSSy4ZI6mfSjz2uCWUdG+gdAsbw+EwLBYLent7UVFRgZqaGoGc+KLEicRrr76GMy44Y/L0jrKzwZx8Msg9e7jfvV6AJGH84Q8QmIT6D4MBqKtjwLXZoLFxYzb8AT86OwlYrSSsHQQ6Oki8915E5b8aKC/jLBhOjZlBSQkX/FcpVVCr1dBqtUJsJhwOw+/3w+/3w+6yIxAMgCRJjmBGamXUKnVm4jIjt+zn2dk4YdgJeuVK+c+RAqQs4BRFQaeN70KqqakZk9GUCHLGUBKlAqeC2BiKlCwvKRgaGsLvfvc7vPbaa7jhhhswMDCAn/70pwJZhsPhlIjuuCWUdBEbixgPDMPAarWis7MTpaWlWL58uUBKyVS3y4VYIrx1863odHVKHpcg08vyYsFieNUqZH30EUiG4RTCli0DUVQMwm6XtouVmsoM4ONPPkZjYyOqZ6lQPWv0++Yq/7nMsg4L5zLbt08hGvzPyzWgspLE7Nmc7L9CoRijJEsztEAyg4ODCPi5mBlf9Z9OUWY8EASBtwoLodx4JWpnJ9+ASm5I/W6+avoKPb09uOD8C0SP33fffdj0H5tQXx8/tTh2PlItlGRSgVOB3IWNqSKyU6TD4cCll16K/Px8XHrppbDZbLjtttuQlZUFmqZTmtc0ocSAJMmkUndZlkVXVxcsFguKi4ujqtv5jm+ZbPcbi9gK/1dfexVVC6sSVhwni1QXCJ/Ph56eHiiUChgWLgD5+RegATDnnDMyWclTkoy21jYsWLAAiBEb5ir/WZSXsTj5pJG4DBsSgv8WC5fO/PVXJFyuEbcLARQVMTCXc31lyiOC/xRJQa+Ldu/xcZl0izITgWGnQKU8pPWUH69i+5e/+CXKTGXJz0cioSSbCpwK5MzykgKWZYUN0Nq1a/H+++9j7dq1sFqteO6558Cy7DShSMF4MRSWZWGz2dDa2oq8vLwx1e1utzvlokQ5EBtDKSosglIlXZo9lRhAMBhEr60X4VAYxTOKObfFDy8E8cUXYIqKgBmjfnEpu1g5Huz169encD7x4H9Lsx12uwH9/QZ0WAm0tpL4NCL4n5vLorx8JMOsgoG5nEFOrvSiTLHvhGVZwXIjiUlOdZZYXNnS2gK/34+59XNFj3924DOYTjQlXWORblBeqVTCaDRmpMWBWAyFr0mbCPDfj8vlEjYuLMti3rx5OHDgANasWYO1a9dieHh4usGWFCTS2+Kr200m05jqdrfbPaY3wmRi5cqVsA6nplgqBoIYP22Ypmn09/fD5XKhqLgIRqNxdNErLgaxYCHoU0d9+pJTkWXAUzuewsUbLh7T6ChZEABMWQyKikMwGka/d7cbsHaSoy6zDgJNX1GCi0+vZ1FRMRr8N5czKCrirnOyRZkUOTb4z4NlpFkHckCq/AvLsAk3dS2tLVjesDwlQkkF6aYCpwIxl5eUIH+6WLhwoXBenmQKCwuxf/9+nHfeeWBZNiVCnSaUGIilyQ4NDeHo0aPQaDSYP3++cKPxndnSrW6XE7Hzvufue7DsrGWYM2eOxIHjP5AMy2BwcBADAwPIz8vHrOpZortjgiTA0FNLvn7VqlUZeYANBmBOHYM5I8F/APAHwAX/O0aIpoPE7t0xwf9yWqj6N5tZIfgvVpQZpsMI+DmXGV+UGQgG0N3djVA4hEAgIHvBWkqQ+NVWVyfudXLRRReh0JC8KzcVl5eUVOBUICa9MhkurzfffFPUtapWq/H2229j165dKblej1tCkZLlxe+O+Op2AJgzZ45Q3R4KheB2u2UrSpQDsYv0zbfcDJtfujgkgbFBeRYshp3D6Ovrg9FoRPWs6oQPIEmIZM5JkgeTbuGUzCiZsAVXo+aq/qOC/2Ggu4cQsss6rAT++U8F3h/JKKcooLSUiXKZlZWyXPCfUkChV0S5SJpbmoVUWo/HA4vFMrYoU6uRJY08GUhxeb3//vtgWAZnrBIXf3zyiSexaeMm5OXlJTVeMoQiRypwKoidk9S04XQxXn1JokZnYjhuCSVdkCSJQCCApqYmBINB1NTUIDs7GwCiWu5KQSYqd2NddbZeGzxKT0rplaKIsVA8Xg96e3qhVqtRWVmZlDlMkDEtAYjJ79i4detW3LjpRmRnZU/K+RUKcEH8chYnnxwR/LcB1pHK/44OAk1NFD76aOReiQn+83EZg2GkXkCjBUmQKCgowMzKmaJFmTTDNXniSUar0cpelCm1a+SJi09MaMGuXr06JVfleDEUuVKBU4FYYeNkuLzkxjShRMDv96O9vR1DQ0NYsGCBsAMSa7mbLnhLItOZOHv27EFZQ5lkQuHjHYFgAL09vaAZGqWlpSnd/CRBRnVsnAq4++67J3sKY0AQQHExUFzMYPHiiMr/IYxIy3D1Mi0tY4P/eXlm1M1RwOuthWtYyfVWI+IXZfp9XCqzY8ghe1EmCxacJGh6oMM0SCr++0tLS1Py68cjJ7lTgVMBwzBRVv1kWShyY5pQwH2Zra2tGBwcRElJCSiKQl5enlCUKNZyN13wloTcu6FYl9fll1+Odke75HFZloXT6cTQ0BCKi4ujfPnJT24kWBwxV0kuL0iPwezZuweLT1w85XeFBICcHCAnZ2zlv7WThMXCxWZaWlTYtUsBsJfg8ccBgyG68j8y+K9SqqBSqmDCaFBbzqJMPuMsXXx64FNoNBqcsuIU0eM/v/Pn2PHwDsFzkMx8YjdwmUgFTgWxMQrSIAAAIABJREFUVtNkFTbKjX9rQgmHw2hvb4fNZkNlZSVqa2vh8XDtZieyKFEOxBLKrjd2QVuiHTfAGQ8My2BgYAD2fjt0Oh3MFea0d6wUSUX3lE9jHLklTAbsA5OS3i0XYoP/ra2tKCmpwr33/h6Njd+H253LBf//RoH/mGoNUFZGC1X/5WYWJTNYKBQyF2VKfGTWrF6T8Phjjz2GbH3yrsrIxTuTqcCpYLILGzOF45ZQEu08aJqG1WpFV1cXysvLo6rb/X4/nE4n3G53RuaVqX4rsYRSUVEBvzb1WA8LFk6HE319fcjKzkJRURFohpa0oBMEEWWhADLUoUhctM4//3xpA0xBaDSAUmnBkqVOlJdx1kdk8N8yEpf56CMF3v879x5KAZSWMIIic7mZQVkZC406/aLMMB2WtGB/+eWXMBgMcTdD777zLtafuz7p7CPeQjEajRlNBRbDCy+8gHvvvRdOpxNPPfUU3n//fVAUhWuuuQYkSaKhoQF33nnnpGV5yY3jllDEwDAMuru7YbFYMGPGDNHqdp/Pl9EK90ylzMaOu2jhIrQMtaQ0htvjRm9vLzRqDWZWzYRSocSQY4jPfpU0t9gYymQH5Z988klsuHjDpAXl5QZ/PWOVfhMF/ztGgv/WDgJffklh797R4H9x0SjB8OnMfPB/vKJMt8uN4eFhroFZEkWZsVCpVVAo4y9N//PE/+D5HZySLt9HKHIxfuedd6Jez1tfE00m4XAYN910E5599ll85zvfAcD1KQKA5ubmMVle0xbKMQKWZdHb24u2tjbk5+djyZIlwg4qtuVuuuKQyWKiCGX79u3IrsrGqaeeOu57/QE/enu4ZlxlpWVRi4Uc8QqSIsfGUCYZ55xzDgz69IoapzrGy7CKDP4viQj+Dw1Gk0xzM4n9+0fdWbm5sYrMDLJzuHsksiizn+yHWq2GTqdLqigz9n5I1P4XAF75yyvI13Hprg8++CBomsbtt98+5nV8KnAmCo5DodC4VpjNZoPX60VDQ8OYY9NZXscgWJaF3W5Hc3MzsrOzccIJJwi7gEAgAJfLNeZmi9XEkhsTRSjXX389Wh2tCd8TDofRa+uF3+dHcXFx3FRMqdYEARELReI1kPp+g9Ew6RXlcoLf+aeb8EEAyM0FcnMZLIwJ/nMkMyqW+WXTaOW/WPAfBJc2nGxRZmynzL/s+gsqZ1ZiyeIlY+bJgsWWLVvw9KNPx92Y2O12bNiwAbfeeivWr18PhmFw1113oa+vD2+88YZozZTJZMKvf/1rvPjii2hra8OiRYvw2GOPCT1Xzj77bMybNw8dHR348MMPcdNNN2HTpk14/fXX8eCDD6KjowNmsxm33XYb1q1bh08++USwRk444QQQBIH29nZcf/31UCgUuPbaa0ULG//1r3/hpptuwmeffQadTocNGzbgnnvumfSYT7I4bgnF6/Xiiy++gFarxcKFC6M0/f1+zjQX27lkuop7omIo7W3t6Av3obhorHw9wzCw2+1wOBwoKCxAaWlpXFeEHNeDpGKsPgKSYyBS8bvf/g5XXnllSn01jgUwLCNrAoPBANTPYVA/BxAq//1AZxeXXWaxcPL/kcF/laoMpWU0KisJrvK/IiL4L1KUGdspc27DXFAkhc7OTtGizMsvvzwumVAUhZqaGvzmN7/BxRdfjMbGRrz77rv44IMPsG/fvoQFuM888wz++Mc/oqSkBHfeeScuuugifPzxx8J7nn/+ebz44ot48cUX4fP58Mknn+DKK6/ECy+8gFWrVmH37t245JJL8Oabb2Lp0qX45JNPMG/ePHz22WcoLS2NOpdYYePw8DBOPfVU3H///di1axf6+/tx3nnnQavV4q677kr1q5sUHLeEolKpUF9fL7rr5m9SlmURDocRCoWEfyybWEdIKibKQjly5Ai8Wm8UobDgpKr7+/qRk5OD6urq8XezMiz+JCEzicpQGLl582aZJjPFMAFErdHEr/zvsBA4dDiAvj4NF/wfEZNIFPyP7ZRJEiR0Oh1UKtWYokwFpYCaVmNoaAg6nS7qntfpdDAYDCAIAqeffjp+9rOf4aKLLkJvby/++7//G0VFRQk/13XXXSdYJPfeey/MZjMOHDiApUuXAuDiH7wLWafT4YUXXsC5556LM888EwBw1lln4ZxzzsHzzz+PxYsXJzyXmMvrT3/6ExYsWICrr74aAFdvc9ttt+HWW2+dJpTJhlKpHLealiAIKJXKKHOSZVlBADIYDCIcDsvqg50oHatzzjkHRwaOCL+73W709PZAp9Ohqqoq6QwZOeIdBBn9mdMZU6rgYCzef/99LFmyZEIVXjOJqKC8hCr1dBEZ/K+uGYBBb4BebxAq/y1xgv9FRVx3zMjg//79+zGrehbm1s8dU5Tpdrux7e5tePjeh9Hf3w+HwwGapuFwOIT0YJ1OB4Ig8B//8R/Yvn075s2bh5NOOmncz2A2j/ax1+l0yM/PR1dXl+hxAOjs7MSiRYui/jZz5kw0NTWNey4xQrFarfjoo4+i6mtYlj2m0tuPW0JJFwRBcB3jdDohK4Rl2SgrJhQKpf0lZ4pQYl1p777zLvrRj3kN89DT2wMCBMrLy6FRpxb4k8XlFWOhSB1TjrThUDh0zNQYpQIWmVdhSGISIAgibuX/+MH/H8JqZdDSwtXLmCOC/0aDEf/9//4bOZocIRXY7/cjPz9fsGS8Xi8IgsAdd9yBU089FV988QVefvllXHvttQmn3dHRIfy/1+uF3W6PclXFWvNlZWWwWCxRf2tvb0dZ2fi9WmJdXjRNY+bMmVi9ejX++te/jvv+qYppQkkCBEFApVJFpSYyDINQKBTlMkuGZDIV9I9dpGfOnIkh6xA6uzq5gHuaGU1ySM2P0fKaAjhzzZmTPYWM4PsuF8x3/hzhlSsnr6c8EDfhIZng/4FP7bBa8/Blk2pM8L+kNATa+QXu2HQWSkpMwk4/Ly8vSizy/vvvh91ux+OPP44PPvgAd911FwoLC9HQ0ACj0QiDwQCj0RhlqT/55JNYsWIFSkpK8Itf/AKVlZU48cQT437EDRs2YN26ddi9ezdOP/10vPfee9i1a1dShCCWPPGTn/wE27dvx//8z//gxz/+MVQqFdrb23HkyBGcddZZ4445FTBNKGmCJEmo1eqo3HGeZHiiCQaDYxbSTO0e+XFpmkZPTw88Hg/M5Wbk5uVKdhXJYaEgKiY/+f1QHn30UWy4eAPy8xKrrR5rWD5Sza748MNJI5R0rKTI4H9JiRUlM2gYDPno7BrtK2O1knjvPS2GrGfjpmuyQVHi99CHH36IJ598Ert370ZtbS0oikJPTw8eeugh/PWvfxX697S2toKmaSFh5/vf/z42bNgAi8WCBQsW4KWXXkoYxF+6dCmeeuop3HnnnbBarSgvL8fTTz+NJUvGZqfFQoxQiouL8f7772PLli24/fbb4fP5UFlZKcRUjgUQ4ywWx6xPgGVZoegpVfzzn/9MyueaDCJJJhQKoaWlBXq9Hjk5ObKMz4NlWXz22WdQKBQoLCzE3/72N3QHu3HBBeJ9uZOF2+OG0+lEaUnp+C+Og1deeQVanRbnrOVaALvdbjiHkx+TBZc8wRPj4OAgCJJATnb617C3txf5+flptdnl0dffB61Wm56+mcxobW1FVVUVPv3Zz3BKODypFkp3TzdycnKg1WjHf3EKUKgVoJRqBPqqsKIxB8lmRx89ehT5+fmizxzLsvD5fCguLsbvfvc71NTUCLpaRqNRsGa0Wq2sm8HPPvsMCxcuBEVRYFkWK1euxBdffDH57srkITrRaQslw4i1ZLKzs6HX65GdnR1lyUixAhwOBzo6OsCyLBoaGqBQKHDppZfisP2wLJaA5FhDgiZdk4mpOCepeFmvQ/Vtt8u+YUkFsdX6qeKJJ57A6jWrUVdbBwAgKAIavQYKpQI2mw1PPPgLrHzlLynNJ142I0EQQqy0rKwMCxcuFDajLpcLLpcLNpsNPp9PqLjnSUav16ct8ipmoRxDZBIXxy2hTNUvhwtWjpWvoGl6TOB/vAWPb6SkUCgwe/ZsHD58WNhxt7W1obW/FTOrZkqer+xpw1OAYF555RWsX79+3AZDxxpYZgoE5SXiyiuv5KRXCEClUUGlVQmfKTcnF7/85S9TGo9hmJSuCUEQwiYw8v7gG+u5XC50dHQIwX+9Xh9lzSTb7fFY/57EcNwSylRFvMJGiqKEnhQ8+JTlWJIJBAKwWq3w+/2orKwUTY+22Wyw2W3yEIpEkKQ06RVi5D8+dVgOkrvuuuukDTDFEJk2POkKABK/m86uTpSWlsKUawKliF6cGZYBhdTa8ybTf2h4eHjccZRKJXJycqKsP5qm4fF44HK50NPTA7fbDZZlhZoYnmiOlUp3qZgmFBHwmViZ6OCWSsqsQqGAQqEQSCYcDqO5uRk2mw1mszmhTtGyZcuQN5AHmpWWwy5LlpeIOORkR+fe/du7WLZsGUxG0/gvPobAguWSICZzDlJIjQA+/vRjnF109hgyAYA+Wx9efPJF/PGZP6Y0n0xZA3yTLpNp9D5iGEYQmx0YGEB7ezvC4TA0Go1AMgzDCPOabGtdThzXhJLul5VJgch0pFcYhkFnZ6egF3TKKadEkR1vxfBFmqFQCPv27cOB1gNY853EvSXGg1zSK3RwlNgkP9wxDbvSgUajmfSFNxNgmckpbIxFOt8xpaKg0Wnw05/9NO5rys3l2LFjR0rjpurykgqSJIXeMsXFnFIF3xqDd5n5/X58+umneOedd9DT0wOWZXHw4EHMnj07aZfZVMTx90TJgEwKRKayQLMsi76+Pnz88cfw+/1YtmwZzGbzGMtJoVBAq9VCo9EgLy8PRUVFWLRoERoXN0KpUYJUkJLcIFIJRer1dLvd6OjoQE9PD4YcQ5zrT6KJs/KUlSn1JT9WILeWVzpI9bshSAIagwY6ow4kReLpnU/DZrOJvra3txfPPftcavMZp6f8RIAgCGi1WhQUFKCqqgo6nQ5LlizBxo0bsXLlSgQCAdx999048cQT8cMf/jDpcQOBAK6++mrU1NTAaDTCbDbjlltugd8f3Qtp69atKC0thV6vx+rVq9Hamlg4Nl0c1xZKusiUgCM/digUGvd1TqcTR44cgUajQWNjY0rS1gRBYMaMGShjy6DUcr5blmXB0AzoMC38Y2hmfNeTHFpesdksSbrRgsGgsHsrLCwETdPwB/zwuD0IhUMYdg5znQM1Iz03RKTQ42H79u348Y9/LOwgj3UIJDJFvCfJfg8KtQJqXXRr4blz50KnFe9dQpFUyn1NMunykori4mKsXr0aL730Ev74R86NFwgEkn5/OBxGfn4+du3ahZqaGnR2duJ73/segsEgHn30UQBck6+tW7fi7bffRl1dHbZs2YJzzz0XTU1NsltD04QigkwSyngWis/nw9GjRxEIBFBbWxvlm00Ff/3rX/HKh6/gli23COelFFSUX5plWYFY6BANmh5LMpMhvcIwDPr6+uByuVA8g+tjHw6HwYKFXq8HRVKgGRrZ2dmjfdAjpNCTIZkrrrjiuLRQgPH7oWQayaQNR6YCx+Kkk+PXgBUUFmD5hctTn88UJRQAY7o1ptJoS6/X47777hN+r6iowBVXXIGdO3cKf9u5cyeuvvpqNDY2AuBUBAoLC7F3796k+iWlgmlCEcFkxFBCoRBaW1sxODiI6upq5OfnS3oIvve976HulDr46fhtgAmC4B5oJYARA4gnGf5fmJZBGJNAUgQd2X44NzcXs6pnJYxzRLWoHVGh5/ug+3xcv41AMACSJAWC4Zs6OZ1OThJdQmHjVMRExwtEwSawUERSgWOxYcMGPPDAAygvLx9z7Kumr/DIK4/g2aefTXo6U+KaRCB2beELKeXCe++9h/nz5wu/NzU14cYbbxR+NxgMqKmpQVNT0zShpIJ0d9cTGUNhGAZWqxWdnZ2oqKjA7NmzZbn5W1tbsefLPVh8UmIZbbH5KZQKYeeoUCmgHFRCl6WLIhqWTv66UiQ15nuI/d3r86KnuwdqtXp8NeQEdSxifdBphobf5xeaOgWCAfxl11+wes1qlJaUxu0ceCxBSBueKlleIiAVJDR6jWj2ViT+8Nwf4lpZtXW1OPXu1BbBqRBDiUSsxRQKhUQJ5bLLLsOzz8YnzjvuuAO/+tWvov72yCOPYO/evThw4IDwN5fLhaysrKjXZWdnJ5UqnSqOa0JJF5mOofApgzabDa2trSgsLBT620sFf7N6PB709/XLMGMOkSQDcNlEAsHQiUlmjDhkRFwmFA7B1mtDMBhEaWlpRtqgUiQFvV4fJVV/7XXXjiEZvi+H0J5Wo570AHeqYJnJr0NhETMHAlBr1VBqlEmR9r6P9+GEE04QvRf8fj+cYSdQksJ8ppjLK7YkIRAIiNapPPHEE9i2bVvccWJjSb/5zW/w4IMP4u9//3uU1L7RaITT6Yx6rcPhSNudngjThCKCTMdQfD4f9u/fD71eH9WWWI6x+Ydn3rx5UJWo4Al5JA4qvuMkSAIKlQIK1egtxDBc0J8Jjwb/WYbbMYtZKP39/RgaGkJhYSGysrMmdPF+++23cdLyk6LEIcUsmSiS0Y5YMpO9YifAlFg8I1xelJKCRq8BSSVvIXy872PMa5gnSijt7e3420d/w4K7FyQ/nalwTSIg1q1RbA3gU4+Twb333osdO3bggw8+QG1tbdSxBQsW4PPPP8f5558PgMuaPHr0KBYsSP4aJotpQhFBpmIoXq8Xra2t8Pl8aGxshNEor6hgpDvtwIEDeOKPT+C/bv4vyWMmmzlEkiRIFQmMxhc5a0zBIhAOQKFSgA7T8Hq4oi+tTptc18jYOUF6pXxBQcGYXaGYJSP0QPf5YO+PJplgKAgFpZC9+ZcUTAWXF8DdNxqDBkp16hXiN918U9xjCxYswEWrLkppvKlGKGIWipRN5S233IKXX34ZH3zwgdBxMhJXXXUVNm3ahAsuuAB1dXW48847MXPmTKxYsSLtc8bDNKGIQO4YSjAYREtLCxwOB2bMmAGv1ys7mQDRRFhdXY0fXfgjyWNKzfIiSRIkRSIYDoJQEujs6gTLsDDlmlBeUc5lloUZyYWKqWLJ4vElxgHxHuhhOgy/zw/7gB3OYSeGHEOjlsxIhtlEWzL8uaaElhcFGLIMoJTppaTec/c9uOWWW6DVjVUrPvjtQTR1NeGyiy9LacxJvyYREOvWGJnllQosFgu2bdsGlUoVZXFUVFTgm2++AcAlOXR1dWHt2rVwOBxYvnw53njjjYwUUE4TigjkcnkxDAOLxYLu7m5UVlairq4Ow8PDcLvdMsxyLCKJUKPRwGiSTlpySK+wLIvh4WE0NzejoqICapUabe1t0OhHXRqxNTJ0mI5rhcixOGzduhXr169PqrteLBQUpzrr9XkF+XqeZPx+P+wuzpKhSEpwlWWaZKaClpeQCqxSpOTiisWaNWugVIlbNgaDAepi+TKiJgOxFpMUC6WioiKpDd/mzZuxefPmtM6RCo5rQkl34ZFKKCzLore3F62trZgxYwaWLVsm7AYyqd0TOfa3336LBx55APc8dI9sY6YKlmXR39eP3t5ekCSJhoYGEASBYGCsXD9JcZZMpItEqJEJ02D9LMIhGVKYR/Cza38ma6omTzKRPu9Ikul39SMYDEaRjFarhUqlkt4ALcLlNikuLwJQapRQa9Wj94uEj7Rw0cK4u+dycznm5s9Nf/ApgFgLJV6W17GI45pQ0oWUGMrg4CCOHDkCk8mExYsXjzFlM1njErn4NzY24tFHH4Uz4BznXeMNmp70yvDwMCwWC4xGI8rKytDf158ywfOFmEq1EpSKSz1mGAb+kB80S4NUkMlV+4ugu7sbJSUlcSuy5cB4JNPn6osiGa2Wc5lJIZmJ1vJKNhU4FXz/e9/H62+8Lpr59NZbb+HFQy9i6wNbZTvfREMshpKuy2uqYZpQRJBODMXj8eDw4cNChlWkz13q2MkiklBsNhteff1VrDlXujhkKgt2MBBEu6UdNE2juroaWq0Whw4dkq0fCkVRUKgVUNAK6LP0UZIykT/Hm/P+/fux6vRVGSUUMYiSTDgsVPwPu4ZHSUarEeIyCUmG5X9w/zMhsZtxUoGluCXffOvNuMdWn7Eatd+vjXv8WICcLq+phmlCEUEqLq9gMIjm5mYMDw+jtrZ23E55mXR5RVo/DMPAH4hfJS83GJpBd083BgcGUW4uj7oOJEFGydfL0c8kciwxSRmBXMKMqKTMj9f/WJ4JyAC+E+C4JDPSL0eMZIRrOgFckk4qcLJgGRZvvfUWzl57tuhxu90Oo9eIrNos0ePHAqZdXv9mSIZQaJpGe3s7ent7UVVVhTlz5iS1K8t0jQs/9owZM3DJJZfA4XdIHjMRWJbF4MAgOjs7UVBQgIZ5DWPFIElC1iwugkicKDAeydBhGq++/CpOPulkFBQUyDYvOTEeyTiHnQiFQhzJqDWgaRrEH/6AZ1iAfeGFjPSTJ0gCap06rVTgZMGwDL49+G1cQjl69Ch63D2YUzsnY3PINMRcXvE8GscapglFBIkUgVmWRXd3N9rb21FSUoLly5enVEcxUUF5i8WCq26+Cg89/lBGzgUAXo8X7e3tUKvVmFM/J64fmCKpMRbKRDcViiWZ6rpq5BbnQqvXRlkzDJ0ZspcD8UjG6/Vi2DUMzUd7uT9++AE6V58BnVYHjVYDpVIp2Q0mpgqcCVAUhZtvvjnu8ZWnrsSCQvkL8iYSYi6vvLy8SZyRfDiuCUVKlpfYgjcwMIAjR44gJydHNOCe7NgTEUMpLi7GnXfcmZHzhEIhWDus8Pq8cVsQR82LJKIW6nQWN7lJaPlJEYq1ERtulmGF2hheViYV3bKJBk8yykElgitOAfXhh6BXnAK9Xg+/zw+H0yFYMlqtVnCXJUsyiVSBMwGfz4e7774bDzzwgOjxPXv2wKKwCFXfxyKmXV7/ZogNnLtcLhw5cgQURWHBggUp92OIHXsiLBSSJEHT0tr/xoJhGNhsNvTZ+lBaVoqZVTOTIu1YCwVIvQlTJOS4htf89Bpce+21qJ9bHz02SUBBKkRJJlJWZqILMROBv5b+i36EG/btw/+75BIYARgNo3VI4XAYPr8vimQUlCIq8B9FMjGpwBMFpVKJiy6KXwlfUlKCmfqZKY051VrsihU2Hi8956cJRQS8FeH3+9Hc3AyPx4Pa2lpkZ2fLNnYmEGlZDQ0N4d577sX2HdtlGdvhcKDD0oHsnGzMmzcvpYDsGAtlCvTRfvyJx5N23/AkE7lLZxgGSrcSSrVSkJSZTJIhQCSUaVcoFDAajPFJxuFAMBSEUqGETq9DVm4W1NTE75pJgkRlZWXc49WzqrGg6NjV8QLGyukHAoGMiKJOBqYJRQQsy2JgYAD9/f2YNWsW5s6dK9tNOVEWSmFhIZ577jnYfXZJY/JB4D5bH2pra6HWpL7IjLFQJLeUl34Nm75swqzqWWNkvZMFSZJcjYxGCa2RkwhhGCbKVTbhkjIpZnmNIRmCqysJ0kF4vV4MWgYRCAagUqqg0+s4nTOdHkpVcqrB6cDhcOCmm27C75/5vejxnTt3YrZxNm644YakxpuKhBIrpx9PHPJYxDShRIBlWXR2dqK1tRUajQbLli2TPQiZyZs70lXn8/nw+GOPY/3G9WmNRYdpdHZ2wjnshEKpwOza2enPK8ZCASbfDfHZ55+hoKAgbUIRAy+OGaXATDNRMRmGlp9k+Mp0KVXykanAeuiFtG+W5RQK3B43vF6vIJCpVqmh0+ug0+lkJZncvNy4ZAIAG6/ciPmF8+Mej8VUa64FcHOKbFUhRctrquG4JpRkbySWZWG329Hc3Izc3FzU19ejv79/SjXlSQaxMRSDMfUWt7ysfE93D4qKizCvYh6+/uprSfOSWofCV8gzDCObrMjGjRtlGWc88JIyUQrMdLQVk0i3LBWks3iOlwpMEASUKiVyVDlRJBMKhuDxekRJJhwOIxQMQaFUpDwfl8uFPR/uiZs23NzcDKPHiOrq6qTGm2rNtYDpwsbjGsPDwzh8+DDUajUWLlwIrVYLp9OZsThHJhFJKGq1Glf+x5WweWxJv9/lcsFisUCv12Nuw1zZ2uNKqUPh60f4BZdmaHi8HrAMi3A4DJIgQRBEynIjO3fsxHfO+g4qKirSmpcUCLplEZF/gVykkEyi1rsiSDcVmCAIqNQqqNQqUZLpZ/vR1taGYCgokEykuywRaJrGwMBA3ONHjx5Fli8rJUKZihbKdJbXcQa/348jR44gEAhg9uzZUa6PTAbOM4lIQgmHwzj11FPx8psvj/u+YCAIS4cFoVAIVVVVkrLYxECSJGhmNOMsmQecZVmwDCtYNhRFIRwIo93SDoqkUFZWNmr5sACY0d0oAWJcklmydIksSRZygaIoUBQVTTIRcjIJJWXYiLhSEmsnQXK9SuRMBY4kmZ7uHsyunR1FMm63G322vnFJJjs7G5f85JK45zl33bloKGhIel7HAqFMa3kdwwiHw2htbYXdbkdNTQ3y8/PH3HDHKqFEZnlRFIUXX3gx4esZhkFPdw8GBgZQVl6GnJycjDx8JEkmbaHEEgkBAgzLoKurC06nE+YKM0zG6NalDMsI72NZNopkAG6xiyWZufXyWWCZQqQ4JhAjKROpWzaCcRt9TXAqcEJLxhNDMmo19Do9HA4HXn7lZfzyl78UHfOVV17BwNwBnHpqcn3lp2oMJbZj43SW1zEGhmHQ2dkJq9UKs9mcMOA+FdJa00FkUJ4gCNh6bSjJLhnzQLEsi6HBIVitVuTn54vKpciJWAslHvgFk2FHYyVDjiF0dXahoKAA9XPrRWMoJEFyO/OIQ+ORzC2bb8Hll1+O+fPmT6g6rxTEk5QJ+AJQqBWglCPZdATGWDKZUAVOB1EkkztKMsFgEF6PFz6/DytPWYlvvvkGKpUKep0+brmaAAAgAElEQVResGaUSiXmz5uPmRXJ16FM1RiKnB0bpxKOe0JhWRZ9fX1oaWlBQUEBli5dOu7O9Fi1UGKJcOvWrdi2c1vU5/V6ObkUlUqFOXPmQKXOvKk9nmR/rFVCEiQCgQDaLe1QKBSorauFSpnaPMcjme0PbwfDMhzRjbjLKJISyPeYIxklZ8kMuYdgyDFEucpIioRKo5pyO3UeBEFArVZDreZcYUaDEQWFBQLJuN1u2Gw2hMNhaBQaBINB2O12mEymcV1Fx4LLKxQKTbu8jgUEAgEcOHAAOp0OjY2NSZuVxwuhvPLKK+hydQHgXH1WqxUejycpuRQ5QZKkqEZWQvfWsBMV5gpZWyVHksw/9/0Ts2tmIzcvl/uuWY5whO89hmSmPMEQ3Px5116sJTNRkGrZd1g68Ic//AH33HuPQDKRlsyvfvEreE7y4OSTT4bVakUoFOK6kxqNMJlMMBqNUYvzsUAo04WNxwj4XXiqi9LxQij33XcffrTxR3A6nbD12jCjZAYqKysn/AEjSXKM9ArApc9G+v0HhwbR1dWFwoJC1NeLu7fkQmtLK0pKSpCfnx9V9c/Pk2G4ehEWXMoyIqbPZ5ZNFfDf+ZRw76SYaRaLmtk1uOde8S6jBEHg/vvvR11e3ejpWJaT+B8extDQEDo6OhAKhbjWzEYjKIqacs9yLMlNFzYeIyBJMq0dbia7KvLIxM4pllCKi4px8NuDXJykoUHSjlXKfCMtFN4qUalV+PpfX0On1UGlVmHYOQyNRoM5dXMmRNfo4osvFp/rCImRFAmMXC6BZGhGiMewNAuv1wutRstJxyeRWZZpTHS3xkygp7sHTV814ayzzhI9/vHHH8OwwICysjIA3D2v1Wqh1WpRVFQEgLvHfD4fXC4X7HY7HA4H9u/fL5AM/2+y3ExiLq9pLa/jGJnsqsiPnwlC4QUhvV4vDh8+jKVLl0JbrJVuThMyEArLCAF3AKiprgHN0LBYLBgcGIRWp4Xf78fhw4eFIKzBYIBWq82IpfLEE09gzZlrUDt7/O5/AskouJ/OYSc6LB3Iyc1BVnaW4KpLJ31ZDrDgvpvIZIbJgtR+8nycKx7aWtvgqHAIhCIGgiCg03FV/Gq1GkqlEjU1NQLJDA0NwWKxIBwOR5GMyWSakIVdLPNs0i1LmTBNKCLItDuDd6nJfRPxCQhdXV2YPXs2frL2J9j2222SCUVqh0WCIAQyGePeKixE1cwq4ZrTDA2vxwuPx4Oenh74vD5ODkSvh0HP9QJRq6Wnva5esxrFxcUpvScUCsHSwS1ENbNroFFHX9fIoD/DMkmlL8sJlpn8eAFPbumitLQUpaWlcY9fvOFi1OTWJD+fkY1QJMnEWjLDw8MYHBwcQzJ8TEZukol1TR6LGaXxME0okwC505JZlkVPTw9aWlpgMplwwgkngCRJvP766xhkBiWPn+58o9J2R2RTfD4fLBYLVGqVqHuLIilhx8gjHOa0pDweDwatg/D7/VApVVxhnIGzZFLNAistKU2aaFmWRb+9H729vSgrK0NOtni9TjrpywRBCFZFuiQTGUOZbJeXVMv7888+xz/+8Q9summT6PHt27fjmh9dg3nz5iU1XqI6lEiS4TcXkSQzMDCA9vZ2hMNh6HS6KHeZFJLJxGZyquC4JpTJ3q3Fg5xBf6fTiUOHDsFoNGLWrFkIhULCzXrw24PInpkNrVYr6RwEErfcjcWYKneSC4x2WDswPDyMyorUsswUCgWys7KRnTVa2R4MBeF2u+Fxe4TiOI1Gw5HMiDWTKD38gQcewA9+8AMsWrQo4bm9Pi7NWqfTob6+HgoqtUdmPJIRUpcBSZllvMtLamdGqWDZcYorx0FdXV1Cd9Z3z/puwuNi80m1o6oYyXi9XrhcLllIJpJQpmIWmhQc14QyVSGHhRIIBHD06FH4fD7U19fDaDSit7cXwWBQeM2rr76KH139I+mEkuR8+dfEZm8Nu4bh8/ugVqsxt16eVgAqpQq5ObnIzckVzh0IBOB2u+FwONDV1QWGZqDVaWHQG6DXcwVyFMlF2u+7776E49MMja6uLrhcLlRUVMCgly/NOh7JJJNZlohkpoLLC5C2kaNpOmFjuNKy0pQ2I3Is2ARBCBsVOUgmdk7HE6lME8okQIqFwjAMLBYLuru7MWvWLBQVFQk3Y+y427dvR5ujTZY5j4fIHTcBzo3j9XlhabfA6/FCqVCiqLAoY+cnCAIajQYajQb5+fkAuEXa5/PB7Xaj394Pr8ULANDr9fj6X19jXsM80TTqoaEhdHZ2oqCwAPVz6ifkYScJMmFmWSKS4a2CwmeewWtdXWC3/wbBTTdmfM6ikOjJPXjwID7/4nP853/+p+jxLbduwcN3PIz585OTsM/UYp2IZIaHh2G329HW1gaapqHT6YR4jNFoPK4IJBbHPaFMRRmVdOfU39+Po0ePoqioCMuWLQNFRacBx4774AMP4pTzTsGMGTMkTjh+4FCsOJHf3bvdblSYK2DKMonWoWQaJEFCr+MECHnwQf/BgUFYO61wu90gKVII9juGHCApMq3qfLnnDoxmlgHi6ctgAZ/XB4ZlkPP39zjVlTfemDRCkZrltWTpEixZuiTu8R07dqAquyrp8SZSyyuSZPhnLpJk+vv70draCo/Hg2+++QZWq3VMb5RjHcfPJzmGkKqF4na7cfjwYSgUioQV/7GE0tjYCJ1WunKwWJZXPPfWwMAAunu6UVRUBHO5GQRBwO12T5ke7HzQ/7LLLhP+FgwF0dXZha6uLqjVajAhBq0trTAYDEL68lSoE4glGZrhmqC5XC5UVlRi4LTTkP3390GvW4dwOAwg85llsZCa5XXw24Po7e3F6atOFz2+641duOScS5Cbm5vcfCa52FOMZPbv34/Kykq0tbXh9ddfh8ViwaJFizBnzhyccsop+OlPfzpp85WKaUJJgEyay8lYKKFQCC0tLXA4HKitrRUUW5Md96zvnIXmoWbZ55vIvaXRaFA/pz5q10WQRFLikBOJRx59BKvPWI3Kykq0W9qRZcrCwoULQZEUJ1Y4EvR3uV3o7e1FKMxJfPAko9frUw7Qywm+FqagsEAg7pbLLsN/trXhuZtvgiLDmWXxIPWZ4fW84qGvr08gy4mYTyZAEAQMBgPWrVuHVatW4YILLsCePXtw6NAhWCyWlMfzeDyYP3++kPYcia1bt+KRRx6Bw+HA8uXLsXPnTlRVJW/hpYppQomDTBUfAsmJJXZ2dsJisaCyshK1tbVJzSN24T/33HNx2abLMH9B8i1TRccdyfKK597q7OyEx+OJG7ymSGrKWCg8zjnnHAQCAVitVsyqmhWVuEAQBNQqNdS5auTl5gEYlfhwu92CUjPLsKNFmHoDdHpdxgsLw+Gw0LsmthaGZbgWwMmkL8fLLAOkkYzULK+qWVWomhV/wbtq41UozCpMbT5TjFAiwfdCUSgUaGhoQEND8r1eeGzZsgUzZ84cQ0YvvPACtm7dirfffht1dXXYsmULzj33XDQ1NY1xl8uFaUKJg0wVHwKJK/GHhoZw6NAh5ObmYtmyZSn5V2MJ5c9//jNana3yzJdm4rq3iouLUWGuiP/gEpgyFgrLshgYHEBvTy8qKytRWlqaNFnzEh8FBQUAuEXa6x1Rw+2zwevxgiAJIatMb9BDq9HKsqCxLCsUg5aUlCAvN2/MuAwbP16QKLNsKgljvvXmW+js6ozbovnaa6/Fb7f9VihOHA+T7fIaD1Kl6z/88EPs2bMHW7duxT/+8Y+oYzt37sTVV1+NxsZGAMD999+PwsJC7N27N+l+MqniuCeUdAPgmRSIFCMUn8+HI0eOIBwOY/78+dDr9XHeHR+xc/50/6cg8gnk5eelPVeWZUFSJDq7OpFlyoLBYADN0Ojo6IBOqxvj3oo3Lzl6pkuF3+/npPvVKvzjg3/gu7rUahpiQRIkV70fYZWF6bBAMl2dXfD5fVAoFFGuMrUqtUr/QDCA9vZ2UBSVUOss1cJGIbNsBKkIY8Y9j0RxyNNOOy2hS+van12bUqdNhmEythuXA8FgMG1NMa/Xi40bN+L555+Hx+MZc7ypqQk33jianGEwGFBTU4OmpqZpQploZFIgMnJsmqbR1taGvr4+1NTUCLvfdBBLnvv27UPtybVpEUqke8tcbobH64Fr2IWuri4EQ0HodDpQFAWXyzVu0Hqy1ZsZlkF3dzccQw5UVHCS+HfecWdGzqWgFDAZTVFdJUOhEFeE6fGgv79fWEQMBoNgzcSrV+jr74PNZoPZbI4q7BQDy7KSXG7JCGPGkkxs0F9qlpfL5UI4HIbRJC7qajKZUrLap7qFIqY0fNlll+HZZ5+N+5477rgDv/rVr3Dbbbdh3bp1WLx48RjrBOCuZWRrc4BrsTw8PCzL3MUwTShxkEmBSH6B7e3tRUtLC0pLSxN2kEwWsYRyy8234NDAoZTGiPSz8+4tiqIQDAQxODSI0tJS5OfnIxgKwuPxRAWttRott0gaDFFFhJNJKHzwOi8/L6rj4+73dqN2di3Ky8szPgelUomcnJyoNriBYAAejwfOYSe6e7o5DamR66c36EGSJGcF6nSYO3eucC0TIROFjfHSl+PJyQRDQc6FRjNpucuavmqCx+PB+aXnix6/4YYb8M7L7yRtpUy1GErsJlXM5fXEE09g27ZtccfQ6XTYu3cv3nzzTTQ1NcV9ndFohNPpjPqbw+GAyWSK8w7pmCaUOMjkIhgMBnHkyBFkZ2fjxBNPlK0XQiyh/OY3v0F5Y3nSgT6x7C2P1wOLxTLGvaVWqaFWqaMq1X1+rojQbrfDY+FMcL1eL2R5TeTDPZ6QYzgUnrS4DkEQ0Kg10Kg1UUF/n59Tw+2wdMDn80GlVoGmadjtdq7SX5c46M9iYrS84sVjBge5GE9ZWVnawphnrDojyg0Xiz+99idkG1NzeU0lQomNy4q5vPhNWSLs3r0bnZ2dMJvNALj7naZp5Ofn4/e//z3WrVuHBQsW4PPPP8f553Pk7Ha7cfToUSxYsEDmTzWKaUKJg0wQSjAYxNGjR2G321FeXi57+l4soZyy4hT4jL5x3yeavUVz2VtenxcVFRVRxYHxzq3T6ri6lxGvHV9E2G/vBx2m8fW/voZSoRQEHdMRdUzmsyQj5Biv38ZkgU986O/rR05uDupn1HMk4+VIure3Fz6vTwj68zEZjUYjfD5egHOiEQqF0N7eDoIgUD+nXnDfpSqM6Rp24YYbb8BTTz0V14W6c+dO/Pz6nyft9ppqLq9kCCUZbNq0CVdeeaXw+759+7B+/Xp8+eWXyMvjNilXXXUVNm3ahAsuuAB1dXW48847MXPmTKxYsUL6B4mDaUKJAzljKAzDoKOjA11dXaiqqoJWK0OPEhHEEsqiRYsSurzE3FsAYLfb0dPbgxnFM1BRkSB7axzwRYRKFbc4zJ83n3OVuT1wu91Roo48wej1+qTcO2JIRcjx4e0P47TTTsMJjSekdS45QTM0rFYrvF4vZs2KSGEmxu5Ww+EwPF7u+g0OccrLSoUSBoMBTqczJRFPOTAwOCBYJby1yiNZYcyhoSEc/PYglp+0HL++/9cJv7eAP5DS/KaiyytyPulmeZlMpijXFR97jUwy2bBhA7q6urB27VqhDuWNN97IaJLCcU8o6d5McsVQ7HY7jhw5goKCAkEupb29PSMB/1ir6r+u+y/UrqzFmWeeOea1LMtGpQGTBAm3xw2LxQK9Xp9U9lY681IpVVDlqKLiCXx9x+DAIDo6OgAWUU22dFpdwu8xHSHHDRs2pCQymCk4nA50dHSgqKgocer1CBQKBbJMWcgyjQZbeZL2eX0IBoL46uuvoFarRyv9x1FeTgeRVkkqXTZjSSZMhxEOh9HW1oYVK1YgLz+Pc0XGySy7/vrrUw7KTyVCkctCiUW87LjNmzdj8+bNksdPFsc9oaQLqS4vj8eDw4cPgyRJLFq0KKpwLlPxmVgLZceOHfhX/7+iXhPPvWW1WuHz+1BZWTmueytVJPq8YvUdNEMLrp6e7h74fD5QCipKCkWlVIEgiLSFHFmGndRUZj7GQ9M0amtroValH0fjSTq/IB96vR7zGuZxysueGOVlrVa4hpFJE6kikVWSCt7Y9QZ6enpw9VVX44orrhD+Hi+zjA7RWHvhWnyy+xOuIyZBjOvOmuqEIrUOZaphmlDiIN1FPxwOo6WlBYODg6itrRXVHMqUYKVY2vCgYhAVlRWiRAJAiDeUzCgRVd6VA6leS4qkxrh6QqEQPB7O1dPf149AMIBwOAylUomSkhJkZ2enNPf/ffl/sWLFCpx4wokpfRapYFlWKAgtLS1Fbk6ubNecz/KKUl7OS6y8rNPrBJIZr91yulZJLPZ+tBczZ87E6tWrRQkhXmaZQqHAo488GnU/0TQtxEn4zx455lRrZhVLcMFgMCPu78nCNKHEQaoxFJZl0d3djfb2dpjNZsyePTt+1TJJIhQKyTVVAbGE0traCq/RC3OFOcq9RRBEtHsrjcZRqYBfIKTsFpVKJbKzs2HKMqHP1oe+/r4o8UmbzQaGZqJdZQmyom64/oa0P0+68Ae4wkqlUimrS5FHoiyvRMrLHo9HsASFdssjNTJ8u2U5rJJgKAiVUgWn0wmXy4XSkvitfsXmT7M0CIIQXEQMwwjdQPmfAIR+KrzbeiqpjYu5vKaC8KhcmCaUOEglhuJwOHDo0CFkZWVhyZIl494gE2WhfPfM7+Lks07GX975C/Z9sQ8MGDTMbYDVaoXf78fMmTNlUSNOam4k11GQItIPCLrdbkHIMbI2I7L/idfjhdszmhUVtUAaDEKV+ttvv42a2TWYVTVLls+XCCzLwmazob+/H+YKc1T8Q06kmiKbqN2y2+3GwMAA/H7/qCU4oyTtuBPLsrju2uvw87t+jrVnr01rDL/fj7t+fhc+ePMDABAW5sggcyS5OBwODA8Pw2w2Cxu4SAtmMiwXMUKZdnn9GyAZN43f78eRI0cQDAbR0NCQ9MOWqRgKPy7/QOXl5eGbj7+BQqGAVWFFT38PBloG8PPbfo7fPvtbuNwuHDlyBAsXLJR9LmPmRpBgaCYtv304HEZnZyd8Pt8YIcfYcwiusqLR9/ILpN1uF4KgXp8XPp8P4XA4o/0ovD4v2traYDQaUT+3Pu24RTJgGWnCjEB0u2XeKikvL4dCoeDcZf39gvIyT9SJlJf9fj927dqFH/zgB9i2bVsUeaUKvU6PV199NeFr+Gegvb0dw8PDaGxshFqtjrJkeDcZvwGjqFFhzEyTTCzpT8dQjjGk62JJtOjTNI329nbYbDZUV1ejoKAgpfNk2kKJfGCUSiWcTidMJpNQ+/L3P/8dhYWF2P/pfnz57ZcoWVGC239xO84850xUVVehuaUZdbV1ss6NpMiUm2zxQo7d3d1ppzDH9qPnq9QLCgq4PjNHDo+2Ch5x88ihGsywDLq7uuFwOlBZWSlrC+F4YCFPzYUQKyGJKNdcZBGr3++Hx+OJUl6OvYbBQBAKhQIejwehcEgSmQCchfrkc0/il5t/Gfc1LpcLBw8eRFFRERobG6Pul3iWDP8PGI3J8CQjN8HE1sUEg8GMVq5PNI57QkkXYoTCsiz6+vrQ3NyMkpKStOVSMmGh8A8HQRD49NNPkZXFCTkODAwgGAxizpw5ggXFK7UuXbIUS5csBQBs3rgZxcXFGHAM4KHfPYRHn3wUL732EjQmDU466SQMDA5ICiDzFkqyiBRylDPewFepP/7Y4zh5xck4aflJUQHrWNVgwVWmTl7Q0eVywWKxIDcvF/X19RNWbMgwjORK+WRiJZGZeVHuRi8Xj7H12XDo0CH83//9H26/7XasXbuWc5splNISEAjEXXxZloXFYkFfXx/q6+vH9RbEustYlo0iGP7/I/vbJ5tZlgjTLq9/U8Qu+i6XC4cOHYJGo5EslyKnhRL5EADA4sWLEQqF0NraiubmZsHcb2lpQVZWFrKysmAymcYUN9XW1gIAsrKy8MpzrwAAVi9aDY1Gg7KcMpy49kT8+a9/xrdHv0VLRwtWn7EaNEMn7cJJ1kIRE3LMBK688krBdRYZsOb73ofpsJBVNmjlCghVSlVUAWZsrCxMh9Fp5Vxz1dXVE569I8XlFQqF0NbeBpIk0yJwXnnZYrFgaGgIZ3/3bJy68lQwLAOP2xOlvBzpKktFedmgN+DSSy8d83efz4dvvvlGkDJKZ8GPlyEGjFotsSTDvycVkhHL8pomlH8D8EH5YDCI5uZmuFwu1NXVjVHvlDK2VMS6twiCgNPpxOHDh5GTk4OTTz4ZCoWCk/Dw+eB0OmGz2XD06FGwLAuTySSQjE43tngwUvPn4GcHAQD0AA21W43q3Gqs+9463HzbzcgpysFH+z7CmjVr4s41GQslnpBjJuAc5kTz4i36CmpsAWEgGIDb7cawaxjdPd2gw7RQ28GwDPr7+zFjhjR1ASmo+fOf8Pin+8FufxjhTTcl/T77gB3d3d0oLysftytoPPgDfigoBSiKEnbyvJUQq7wspH9HKi/r4xM1j67uLmy6YhPef/N9AKOZlf+/vfMOb6pu//876SJNF3RQaGnpXlDogBZkoyKioIjigywFylCGoAwRZaoIiOWqIEM230dEHIDIRqTMQqFAW7r3Xkmz5+f3R3/nPEmb7jRN2/O6rl4XPUmTzzkk5/7c633n5eXB39+/WbL2TUFX8r6hyrKGypc1/74tGhuNBcag1AOLxUJlZSXy8/Ph6emJgIAAvd0kWivrUtsrYbFYUCgUSE9Ph1QqRVBQkNY8FRaLBUtLS1haWtJzrVUqFQQCAXg8HjIyMiASiWBhYUEbGFtbW51f7KCgIAQFBQEALv12CWw2G4WFhVAVq+Bu646NX2+Ed6A3Xhj9Au7du4fw8HCYsE0a9FAaE3JsCy5fuoyQkBCEhze9D0XXFEeBsEbMUalUwsTEBKWlpRAJRbQno6m11db0vnsXbAKQP/5skkFprVeiSUxMDEJCQjB2zNgGn0eVf1M3f03lZcpQU8rLlOabpaUlTE1M0dOpJ/bs3gOg5kaclJQECwsLhIeHt2lhhSaNVZbVzscA2p4M09jYwWnJl7miooIOFzV3amJTaKlB0WVIACA/P582fE5OTk06ZxMTE60vNlCTt+Dz+aiqqkJ2djaUSiWsrKxoA2NlZaX1ZaB2Vm5ubljz6RoAwLql68Bms9GtWzds+XkL3hzzJs5eOAuFRAG1So38/Hz07NkTZmZmTRZybAvqmwjYVAghtOaZZr5BpVbRO/D8/HxIpBJaa4uSpte3ICZFweAI9L53F+SNSY2unSp2aI1XQgjB0WNHMWnSJCxevLhF3f4NKS+LhCJUlFcgV5xbM97YhA2OhINu6IbCwsJWzw/SF40ZGU1PRiwWw8zMDEqlEmw2mzEonRmxWIyUlBQAgKenJyQSSZvsfFoS8tIV3uLxeEhNTUX37t0xePDgVou+Ud3VVNJerVZDKBSCz+cjNzcXQqEQJiYmWl5M7ZARpXQKAL/+X02J5/gh4yGIEmCQ2yC89/57WPPFGpQJy/Dz6Z8xecpkePT1gJWVlUHDROfOnYO3tzf8/ZtfzSaVSZGdlQ0LC4s6O3sTtkmdAVtyhRxCoZBWDaZmx1A78NYIYmryfNIk7DA1xTcNeCdyhRzZ2dmt9kr41XzY2tjC0dERRE1aJR1TG03las1xy8+fP8eRI0fgtNgJpqamyMrKQkVFBZ0X1BW2bS9qGxm1Wo3U1FSIxWL6M8fj8XDt2jWMGDGi3dapb1iN7JSNp8W0hajV6ka70ilxuvLycvj6+sLe3h7l5eWoqKigk9X6RCAQICsrC8HBwY0+V9MroQwJJYMvk8ng5+fXonHBLUWhUIDP59M/MpkMlpaWDSb8NVGpVMjMzKTDbBMmTcDCpQsROSISw0YPw09HfsL06dMBtG6UbGPcvXcXLr1dmjVgixCC4uJilJeXw72vu5bRaA6agphCoRAisYgWxKQ8mZbMor/x7w1cuHABX3/1tc731IdXAtT01kRFReHAgQMGCU8CQLWgGjnZOYj0jYSPmw9YLBaUSiWqq6tRXV0NPp8PsVgMc3NzOjdoY2PTrOq8tkIoFCIpKQnOzs7o06cPWCwWHjx4gCVLlmDhwoWYM2eOwUJ2ekTnRe1wZ6FPCCEoKipCVlYWXF1dERERoZWIa+uJjY2tTVd4Ky8vD/n5+fDy8mp2/4s+MDMzg4ODA10uSgiBWCwGn89HcXExUlNTwWKxYG1tXSfhX1ZWhvT0dLi6umLcuHH02g/9cAhqtRoikQg90RM+9j7YGbMTEpUE02ZNw/Ub1xEaFqpX0crIiMhmPV8kFiE7Oxs21jatblCsTxBTLKqZRV9YUEh7x5peTGNeQH1VXpRXYmJi0iqvpLCoEFevXMWMGTNw6OAhg0iGqIm6RtpfJAbXiovffvsNqz9eDaCmx6hHjx5aenkymYw2Mvn5+ZDJZOBwOFpGxlBSJ4QQFBQUoKCgAIGBgbC2toZKpUJ0dDTOnz+PkydPtsmGtT3psgaFz+fj+fPnsLa2xqBBg+pUWrSlQWmsbLih8FaPHj30Et7SFywWC1wuF1wuF7179wZQ44VQu8b09HQIhUJavsPDwwMODg51DCGbzYa1tTVWfboKALBm8RqIxWLY2tpi3619mDRyEuKfxuPcpXNYvHwx0jPS4eTo1OKy4m+2foPBgwdjzOgxDT5PpVahsKAQ/Go+PDw89K7ETKFLBkVzFr3m7Jj6OtRrN83pyytRqpQQCoSwtbWFo1ONATTETVkkFiErMwsODg5w6+OGiooKeHh4NPg3FhYWcHR0pA01VeFYXV2N8vJyZGZmQqVSgcvl0kbG2tpa798nuVyO5ORkmJub1xSmmJigqKgIUVFRCAkJwfXr1ztV7oSiy4W8ZDIZUlNTIZVK4e/vX+8Nqbq6Grm5uU0en8//yGIAACAASURBVNscpFIpEhMTERamPdxJV3hLJpMhLS0NCoUCvr6+Bg1vtRa1uiYJX1hYCHd3d7DZbDpUplKptLwYLpfbaC2/QFAzv97b2xsr167EmFfGwNXDFZu/3YzVa1eDx+fV5IGaEIYRS8QwNTVtMEFOhVkcHBzg7Ozc7qETzQ51oVAIoUgIoiZ0qOzhw4e4ffs2Nm/arOWVuLu5tyqkcv7v88jOysaiRYv0eDb1QwhBYVEhqqqq4OnpqaU359PDB1bmrVMdoLxhatMjEAgA1Mxgp4xMUz6P9VFZWYmUlBR4eXnByckJhBCcP38eGzduxPbt2/Hyyy+3+2dJD+g8gU5vUAghkMvlUKvVyMnJQWFhIby9vRuthmpOnqO5yGQyPH36lC5Z1RXeIoTQN2NPT892CW+1BqofpkePHvDw8KizA9RM+PP5fAiFwprhURoJ/6bs4EQiEW7duoWxL47FtuhtULKVeHfmu9i1Zxfenvo2unXrBhO2SZ1rl5aWBjs7O51VQkqlEnl5eZDJZOjr0ddgeYKWQAtiCoW4cvUK4u7H4f0P3odSqYSTkxOcnJya1TyoyZmzZ9DHtQ8GDKzpRzJEx79UKkVmViasrazh4uqi9Z5xcXG4cvIKfjn+i97flyqjp8JlVAEKNRnR1tYWHE7DeS21Wo3MzEzw+XwEBQWhW7dukEgkWLt2LfLy8nDw4EG64KUT0DVzKJpyKT179qSnJjaGIXIolDGvHd6qqqpCamoqHBwcMGjQIKMJbzUFhUJBJ9xr98Nowmaz6S8rlRiXy+Xg8/la8W8ul0sbGF2hCS6XS0+kpGLrhBD42vgi1DUUp8+exoWrF/DF5i9w4coFBAQGwMnRCffu34O/n38dg1JZVdN71Mu5V5vNh9EnmoKYDvYOMDExgRXXCt17dIdEIkF2djbdjd3UCY6lZaVwdHCEm5sbHB0dDWJICCEoLStFaUkpPDw8dEqnhISE4I1hb7TJ++sqo1coFLSBKSkpgUQigYWFhZaRoTY9YrEYiYmJcHBwoDXEkpKSsGDBAkyfPh27d+82qrksbUWnNygymQwlJSUIDQ1tlhSGIXIomuEtqiadCm/1798flpaGkZbXB5REe1ZWFtzd3eHn59fsm7G5uXmd+DcVmigsLIRAIACLxdLq8Ne1a2SxWPjoo48AADOnzMTU16fCwsICF0suwjXUFYIyAR7feYz3Z76P5JRkcLlc2DvY15TTstitGh7VHlBDu/IL8sHhcODt7V3ncarLX2uCIyXmWGt2zDdff4OPFn9kEBVqoKZoIDMzExbmFg0WPPB4PKiKVXAKdzLIuszMzGBvb69VCi+VSmkjk5eXB7lcToem3dzcYG1tDUIIfvrpJxw5cgQHDhxASEiIQdZrDHR6g9KtWzf079+/2X/X2m72+qA0gaRSKZ4+fVozNMrGBlVVVSguLqartzoSYrFYS+dMXzdjSr7DysqKTvhTpaKUjIxEIkG3bt20ypZrvz+1i1y6ZCmAGo9wfOR4VKdVo+p5FSrNKqHoo8DumN3YFr0NIpEISqWSrmQzZuQKObKysmBqaopevXqhoKCgznM0mwc1JziKxWJ6OFlVVRV+PfUr5syZgzVr1tA3xrb20CiP0K2PW6PSKQWFBSh4XIDI8OZV6OkTqlfLyckJSqUSSUlJUKvV6NOnD9LS0rBy5UrweDxwOBwsWLAACoWi08mrNESnNygtRV96WxSa4nIAMGTIkJpJeUVFyMjIoOVR+PwajSlbW1uj/xBScyfKysrg5+endy0lXdQuFaWMM5/P16ri0Uz4126aNDExwdChQ2Fra4uwkDBwuVx4eHjA3tweg1wH4fSfp/Hw6UMsWLIAO3/YiZfGvwQnRycoFIp6Z7EYGs1RwtTNODUltcnhKUrMkWvJRUFhAcJCw1BdXQ17B3tIJBLk5OZAJpNp6WxZWTUcKmsOSqUS2TnZIGrSZI9wQPAAvDvmXb28f2uhhuq5u7vTckYZGRlgs9nYtm0b/P39ERcXh/3792PZsmW0XFFnp9Mn5YGasFdzUSqVePjwISIiIlr9/rqqt6RSKdLS0qBSqeDn5wcOhwOZTKbVNKgpfWJnZ2fwbvKGqKysRGpqKpydneHm5mZU8WG1Wg2BQEBfR5FIpJXwt7a2RklJCYqLixsVFTxz5gxeGPYCkjOS8cXmL7D/8H78feVvODo7wtfH1yC7+NpoeiWaFVx/nf8Ljx49wudrP2/ya2VnZyPmhxhs+3ZbnfMghGh1+YtEIi1BTCurls2O4VfzkZOTg969esPe3r7J1+9xwmPI8mRYMHdBs95PnxBC6A79fv36gcPhQKFQ4KuvvsK9e/dw9OhRuLm5tdv6DEjXTMq3FH3kUOqr3srJydEZ3rKwsKArc4D/VULxeDxkZ2dDKBTC3NxcqxLK0F6MXC5HamoqFAoFBgwYYDQ7dk3YbDZ9fSiohH9paSkSExOxa9cuDB48GL1796YbMXUZxYkTJwIAhvUYhqt/XAWLxYKbhRt6WfWCo5kjRowdgb8u/4Xk9GRIpVIEBAS02Xnp8kq0Hlc33bjFxcUhLT0N0/4zTacxAWo+r7UFMTVnx5SWlUKcLQZY0FILrk8QU6VW1Yyflkjh5+fXbLkWR0dH2Fq3zfjkpiCVSvHs2TPY2dkhLCwMbDYb2dnZiIqKwosvvogrV650xI53vdK1z74BWjOzRFMUTrN6q7KyEmlpaXB0dGxS9ZZmJRQF5cXweDzk5OTQXoydnZ3O8I6+oKTCc3Nz261LvzWYmJiAx+NBLBZj0KBBOHXqFMRiMQQCAQoKCuiEf22dMs1zpP5NGRkAiP8nHnZ2dsh7lAdhhRAug10wc+5MfLLmE5hxzFBcXAxfH99Wr5/ySszMzBrsdm/MWygvL4eZeU2Dqa2drdZ5NQXN2TEU1OwYkUiEyvz/zY6hGjCtrKwgk8uQnZUNBwcHuLu1TN7fpbcL+jnqvy+sKZSUlCAzMxP+/v7o3r07CCH45ZdfsHPnTsTExGD48OHtsi5jo0sYlJYYh5beLHVVb1Gz5wkhCA4ObtWuvrlejJ2dXauT5EKhUEtVoKPtwqjwnIuLC8LDw8FisfDw4UPY29ujb9++cHFxAaCd8C8uLoZEIgGHw9FK+Nc+d8pLoEqXAWDnFzvh7e2Nx08e485fdzB87XBE/xiN/iH9ERgUiOLi4iY3SjbmlWiiJo1PbPz999/h5e2FMaPH6K3ooL7ZMZQkfU5ODuSKmlG3hBAIhUJYci2bLV/z2++/4UjaEXz/3fd6WXdTUKlUSElJgUKhoAtOBAIBPvnkE8hkMvzzzz+t0kXrbHSJHIpcLm+Rt3H79m0MHTq0Sc+tL7yVm5tLd3cbqmpIMxfD4/EaTVLXByXkyOPx4Ofn1+FmXysUCqSmpkIul8Pf31/LkO/fvx/e3t4YPXp0vX+vmfCnfgghdTr8m3ItHz58iN69e0MJJaZMm4Jffv8Fl29chkwtw9AhQyFXyOt07Wt6JW593Bo15H/8+QdSUlKwauWqOo99++23eGfqO+jr3rfRteoLqVSKjMwM2NrYolfvXpDJakqXRcIabwbA/2RkrLiNCmISQtDPoV+byf/Xprq6GklJSejTpw8dGo2Pj8fixYvx4Ycf4oMPPjCq3KGB6Zqd8kDbGpT6wlsVFRVIS0tDz549admR9qJ2kropXoymkKOrq2uHCm9RzayZmZnw8PBAz5499bZ+zWvJ4/EgEolanNeKi4uDSq1CUEgQwoeE4/jJ4ygXlCM1PRUB/gEoKi6Cm5sb7GybVj33+++/Iz09HZ9++il97HnKc/j7+ePZs2fw8fXRq8x8fTSlSRHQFsQUCoWQSqVagphWVlZaxiM7Oxvu3dwROjC0zdefm5uLkpISujlXpVIhJiYGf/75Jw4dOtSmubIOApOU1ze1RRxrh7eMJWmtK0lNeTHUMC3Ki7G0tERlZSVMTU0RGhra4QTspFIpnj9/DlNTU4SFhdV7c9+3bx88PT3x4osvNuv1Na8lVc2jmdfKzc2FQqGo0+Gva0MxaNAg+t/P7j6DmZkZHj58iPsp92Hja4MfT/yIqdOngmvJRdyDOAwd0sjmBkQr5CWTy7B3715s2rSpTTTpdEE1KXaz6NaoKrMuQUy5Qg6RsEarTFMQ08rKCqlpqRCyhG1qUGQyGRITE2FlZUXPpy8uLsaCBQsQFBSEGzdudLjvhCFhPJQGqM9Daah6q6SkBD4+PlrdtR0BpVKJjIwMlJSUwNLSEgqFgt55Uwl/Y+4ep6TC8/Ly6Jk2DfHo0SP06NED7u7ubbIWTZ0ygUBA60LVl/CnRink5OTQ66+oqIClpSWqqqrw9favsW7TOuw7tA/c7lyMGjsKaWlp8PD0oBWHfz39K3JzcvHOO+9g//79WL9+vUE9y4rKChQUFDTLq2oMzdkxIpEIvVk1Da6aQo76KkShvHLq+hNCcOnSJXz55Zf45ptvMH78+A7lqbcxTMirudQ2KLoMibGFt1pCfUKOmjvv2grBdnZ2Tc4ftDUikQjJycmwtraGt7d3k7TP5HI52Gy2wQoMKF0oyshIpVI64c/hcFBYWIhu3brB19e3wTXl5uaCzWbDydkJL014CYeOH8KDhAdISk9Cv7/Pwz8pEepJb+DphFcRGBBokHPTbFL08PBos2t6+fJl9LXoi7feekvLYGv2GVFGpjkySyqVCunp6RCLxQgKCoK5uTmkUim++OILZGRk4NChQ3B2dm6Tc+rAdF2DolAoWtRTomlQdM0okUgk9EApX1/fZn2IjQFNIUd/f/9GpfHryx9QHoyhvRjNTn1/f3+tkF5jLF++HMHBwZg9e3bbLbABqMFkOTk5KC0thbm5OUxMakJAlBxPUw12dnY2ioqKEPnKi5CaAUILFtKuX8LZi2fxztvvQE3UbSbwSDcp9u5Ny7q0FTk5OQiwC9A5lEoul2sZbGqwVkMVekBNBWNiYiJ69epFT1NMTk7GwoULMXXqVHz88ccdboNoIBiD0lxu376NyMhILcmUzhDeqi3k2KtXrxZ7GjKZjPZgDOnFUAPSnJycOqRXKJVKkZycDAsLC9oroSTUNXfeFhYWWjtvXTmh77//Hk5OTpgVFwfTn36C8oMPkLtqFS5cvIC3p72NFWtWICA4AGPHj8UfZ//AK+NeabUXodmk6OHpYZBkv1KpxMCeA5u0aaEGa1Hq1dXV1fRnk+rtokRHqWmKarUaR44cwU8//YT9+/fXmVfEoAVjUJoDIQR3795FYGAgOBwO2Gw2WCwWysvLkZ6ebpSSI01BU8jRx8dH7x6FLi+Guinqw4uhwhMCgQABAQEtHjh29+5d2NnZwd/fv8VraQm6ciUN0ZAcT0pKCoYOHYrS0lJ07969Xg9NqVRCoVCAzWZj5eqVWP/Vepz49QRyi3IxbdY0PH36FJ5e2oOsGkIoEtY0KTo6oKeT/iroGmPv3r3oZ9+PVpJuLtRns7KyRpBSpVLB0tISJ0+ehJeXF65cuQJnZ2fExMTUW5nGQMMYlKZChbdKSkpQVFQEqVQKCwsLyGSymk7lwMAOJS0PtI+QI0XtXo6WejEVFRVITU1Fnz594OLi0qob2YkTJ+Di4oJRo0a1+DWaiy6vpLlQjazV1dVYt24dXn75ZXh7e9fp8G8MaohUr169MG/RPCxevhhl/DKc/P0kFi1ehLKyMlhbW2u9lpqoUVhYCD6fD08PT4NXMLJZbAzoOaBVr1F7mqJcLsfu3btx5swZKBQKKBQKuLu7Y8GCBZgwYYKeVt4pYQxKY+hKulM34pKSEjg6OtLJVRMTE/qGaGdnZ9TKwMYm5EjtFKlQWWNeDKUfplQq4e/v3+FyVc31ShpCJpPhtddew6lTp+hNAfWZpK6nTCaDpaWlVv6gKYUKlDRQ+KBwfLr2UwwcPBARwyLw9Y6vMW/+PKSmpKKHfQ+4uroaZOhWbZ49fYZBfQa1yKtUq9XIyMhAdXU1PU1RoVBg69atuHXrFo4cOYK+ffvSPSgqlQqenp5tcBadBsag1Ed91VtlZWXIyMjQeSNWKBRaFVAKhYLW1DKWCihNIcfaneLGRn1eDFAjFe7l5aXXBsXdu3fDzc0Nr732ml5erz4or4QKMbY0dyGVSmtGHY8di+fPnzd4U6US/pplywC0OvwtLS2bdC1FIlHNkKhBIbh+6zqqJdWI+jAKP5/+GaNGj4KNteHUEy5fvIxIj0iMGDGiWX9HTVN0dHSEu3uNjlhubi6ioqIwatQorFu3zmDFJGq1GsOGDcOdO3eQl5cHV1dXAMDRo0exYcMGFBUVoX///ti9e7ex53C6bmNjY3IOKpUKarWazpNIJBKkpKTAxMQEAwcO1LkjNjMzg4ODAy2noqmplZWVBaFQSO+6qSooQ5WodkQhR2pwETVzWyQSITExEYQQcLlcZGVlobCwkL6eugZpNYexY8e2OP/SFDT/D1rrlRBCUFVVhd9//x1jxoxpdIfOYrHA5XLB5XLpwWQqlYqugqJKZBvLbVFNuuPGjYOPjw9GDB0BpVIJU1NTmFWYwd/BH//e+Re/nvkV6zatQ1x8HFxdXNtMYujVV19tljgk5Rnm5uYiICAAtra2IITg9OnT2LZtG3bt2mXQkCcA7Ny5s064PDY2FgsXLsTvv/+OkSNHIjo6Gq+++irS0tI6nNxRl/BQlEolVCqV1rGGwlvl5eXw8fGhhzi1FGrXTXkxhBDY2NjQXkx9Mt+tQVPI0cvLq8MJORJCkJeXh8LCQvj6+mr9H2heT6pqR7NZsDleoUAggKmpaZt4bfrySgDg4sWLOH/+PKKjo/W4whp0eYVUwl+lUqGwsBB+fn4NGkOVSoXKyko4Ojpi67atGDJyCHr07IHlq5fj2++/RVFREUzNTPVSUnzi2Am8EvJKk9QNFAoFnj9/DjabDT8/P5iamkIoFGLlypUQCATYt2+fwaszU1NTMX78eJw+fRohISG0hzJr1iyo1WocO3YMQM13wN3dHZs2bcKsWbMMusZm0HVDXpoGpbHwFlWP3hZ5BmqXyOPxwOPxIJVKYWlpSRuY+iQ6mvraHVnIEagxhsnJybCzs4Onp2ejcX+1Wq3Ve6CZi2nMK/ziiy/g4eGB999/X2/r1/RK/Pz8WrUhSUhIAIfDgaurK/h8Pj0VsC1Rq9Xg8XhIS0uDXC6v8UTMzLRyMU3JX8lkMiQnJ2PgwIHYc2APVGwVJr41EZ+t/wxRi6JgamoKAtLkqjKK/Jx8hLuFN3otqGmKffv2pRsSHz9+jI8++gjz58/HvHnzDJ5HVKvVGDFiBJYvX47Q0FB4eHjQBmXgwIGYPXs2li1bRj9/0qRJ8PLywnfffWfQdTaDrhvyotDVnCgWi5GSkgIzMzOEhIS0qU6PiYkJunfvTstdU7FuHo+HgoICOtlP3QybmuzXFHKk5Nk7Emq1mp6C5+/v32RjyGazaWNMoWscsC4vZuPGjXo9B6lUiqSkJHA4nFZJ/FOh16dPn8LBwQG+vr4GqyisqqpCamoqPDw86BuxZsNgfn4+ZDJZHZ2y2obfwsICAwcOBAAsnLsQQM1n/c1hb2KIxxCcvXAWf/79J77c/CVOnDqBgaED4eLiAgLSYLLf0dGxQal4zWmKlI6eWq3GDz/8gN9++w3Hjh1rt1G80dHRcHZ2xuTJk5Gdna31mEAgqFPybWdnh+rqagOuUD90CYOimScB6oa3fH1922WmgWasm5rJoVAo6BBZbm6u1gCt2sl+qVSKlJQUsFisDinkCPxvN+ns7EyL8bWG2rkYTS8mIyODzh2kpaXB2dkZL7zwQqtCUpRXQmmItTZMOmPGDCxduhTTp09v1es0B5VKhbS0NIjFYoSEhGh5Iebm5lq5Qs2Ef1FREf350zTaHE5dGXoWi4W33noLADD5tcmY/NpkAICXlRf6OfVDeUU5Fi5diBO/nMDdh3dhybWEt5e31mt8v/N7zHp1FsaPH1/nHCQSCRITE9G9e3d6mmJJSQkWLlwIX19f3Lhxo92qA9PT07Fjxw48ePBA5+PW1tbg8/lax6hClI5Glwh5TZgwAUqlEpGRkYiMjERWVhZSU1OxYMGCmhJII25O1Ez2azYKslgsiEQi+Pr60sO2OhJKpRLp6ekQiUQICAgwaF+PVCrFzz//DDMzM/j6+mp5MXZ2dk2ugNL0SlqTK1GpVDh58iTeffddFBcXt0q5oLnw+XwkJyfDxcWlxWMKNBP+fD4fYrEY3bp10wqVNaWAQiwWw9LSEqdOnYKNvQ0GDBqA8RPH4+DxgyipKIFSosRrEXWr8nRNU7xy5QrWrVuHLVu24LXXXmtXr/3w4cOYP38+XbWoVqtRVVWF7t27Y/Pmzbh37x4IITh69CiAGqPdt29fbNy4kcmhGCOUN3L69GnExMSgW7ducHBwQEhICIYMGYIhQ4botSS1LaFuAN26dYOFhQUEAgEIIVqzTdoi2a9PqBCdm5sbPbioPdGUPKHGBFtYWGhplGkaC316JUqlEiwWC2vXrsWqVasM5ilTYcbKykoEBgbqteKNEKIlLKope9KcIW+EEGRmZsLLywsXLl1A4vNErFiygn6cmqaoVCoREBAAMzMzyGQyrF+/Hs+fP8fhw4cNkntqDLFYjMrKSvr3/Px8DBkyBHFxcfD398fjx4/xyiuv4M8//8Tw4cOxa9cubNu2zdirvLquQQGAwsJCTJkyBdu2bcPQoUPB5/Nx584dxMbG4vbt26ioqEC/fv0QGRmJIUOGwN/fv0nNYIaiISFHlUqlNaFRn8l+fSKXy5GSkgJCCPz8/No1RBcTEwMnJye88847Oh+XSqVaGmXUpEZLS0uUlZXBysqq1RVceXl5mD59Oq5fv27Q/x+RSISkpCR6BLIh3rv2kDdNhWDqpzmfB13TFKmow+TJk7FixQqj+v5qkp2drZWUB2r6UNavX0/3oezZs6dD9qF0GYMCgE7G60KhUODx48e0gXn+/Dl69+5NG5iwsLAmh0L0vebmCjlqJvt5PB49j4MyMM2ZKqgPNDvFKcmL9iY3NxdmZmZN3sEqlUpkZmaiuLgYHA4HSqVSK6zTnD6j7OxsPH/+HK+88gpKS0sNdj0IIcjPz0dhYSECAgLaffcrl8u1ypblcrlWwt/GxqaOsaOEWUtLS+lpimq1GsePH8fevXuxb98+rcFlDG0GY1CaAyEE2dnZiI2Nxa1bt/Dw4UOw2WwMGjTIYGEyfQo5an55eTwelEqlQVSBJRIJkpOTweFw4O3tbTRDuioqKmgj2xjUOVhaWsLb27um7LWBefOU0a69AVGr1VCpVEhNTcWtW7cQFRXVlqeoBZXv4XK5TZ4ZY2gIIRCJRFod/poJfw6Hg4yMDHruDZvNBo/Hw5IlS2BpaYkffvhBa/ojQ5vCGJTWQAgBn8/H3bt3aS+mvLwcQUFBtBcTEBCgly+qIYQc61MF1vRiWnMulCZSUVER/Pz82qWKriG+/fZbODo6NtiHQk2BzM/Pb1KuhMrFUKGy2snpffv2wdrausVquS2luLgYWVlZre6NaQ+USiUtM19aWgozMzMUFRUhPj4eLi4uOHbsGNasWYNp06a1ey6ui8EYFH2jUCiQkJBAezGaYbLIyEiEh4c3O0zWnkKOVN6ASqQCoDv7dY2trQ+BQIDnz5+je/fuWhMgOxKaXomPj0+LzoHyYg4dOoTg4GAoFIo6Rrstw6hUtziLxYKfn5/ReIfNgSpplkgkCAoKgpmZGfLy8rBlyxY8evSIrngcOHAg1q9fT+ckGNocxqC0NbXDZA8ePKgTJnN2dtZ5AzFGIUddyX4ul0vfDGsn+1UqFV05FBAQYNThh2vXroHL5SIiIkLreHO9koaQSCTgcDg4ePAghg8fDh8fnwa9GEqjTB9yOZTUv6enJ92T09Ggpin27t2bLmnOz89HVFQUhg4dig0bNtCVXQkJCQgMDGTmmBgOxqAYGkIIqqurtarJysrKtMJkfn5+2LdvHwICAtC/f3+jFnLUjHFTyX6qUsfU1BTFxcXo3bs33NzcjPYcKC5dugQul4sXXniBPqYPr4RCqVRiyJAh+OuvvxpMumvmYijPkNJ8a64yMKC9ow8MDOyQza6axQPUNEVCCP7880988803+P777zFmzJg2X8eqVatw7tw55OXlwcrKChMmTMDWrVu1NhkdUCVYXzAGxRjQDJOdP38eDx48gJ+fH0aPHo1hw4YhPDzcKKTvm4pIJEJKSgrEYjHMzMzqJKY7wrloeiWtzfdUVlbiv//9Lz788EMIBIIWeWn1NQpS17Q+L4bqUXJ1dW31ALL2Qi6XIykpiS5EMTExgUgkwpo1a1BeXo4DBw60mZpxbT777DO8/fbb6NevH3g8HmbOnAlzc3P8+eefAGpUgseNG6elErxjxw5j7x/RF4xBMSYOHDiAw4cPY9euXejRo4dWmIzFYiE8PBxDhw5tMEzW3pSWliIjI0OrnFlXsl/zZtjaZL++2LVrF2xsbDB16lS9eSWUx7Znzx4sW7ZMb/kvyouhwmS1vRgbGxsUFxejqqoKQUFBHW6aKEXtaYoA8OTJE3z44YeYM2cOFixY0K79VH/99RemTZtGy6R0UJVgfcEYFGOirKwMPXr0qHMDo8JkmtVkZWVlCAwMpMNkgYGB7XpTlslkWtLgDfW06ArpAKgj429oiouLUVpaCrFYrJcqtCtXruD48eM4fPiwfhbYCJQXU1ZWhoKCArDZbK0CCmMx3E1B1zRFtVqNH3/8ESdPnsTBgwfRv3//9l4mli9fjri4ONy8eRMAOqpKsL5g1IaNCUdHR53HWSwWbG1tMW7cOIwbNw5ATTyeCpPt2LGDFlPUrCYzRGhJU57d29u73nOofT4cDgccDodWsKVKQXk8HgoLC2kF2/qS/fpGIpEgISEB1tbWiIiIaNWN98qVK2Cz2Rg7dqxWPqatYbPZMW9miAAAH9tJREFUEAgEqKqqQlhYGKytrWkvprS0FOnp6VpejJ2dnU7RxvZGLBbj2bNncHJyQmhoKFgsFkpLS7Fo0SJ4eHjg33//NYoCldOnT2P//v24ceMGfawzqQTrC8agdABMTU0RFhaGsLAwLF26lO7xiI2Nxblz5/Dll1/SYTKqmkzfAoNisRjJycngcrmtkmenzqdHjx50cpNK9vN4POTn59OhI00Zf32UvFLJ3oKCAjx58gSOjo4YOnRoi16Lz+fTUizUpE9D3fg0mxTDw8Npg0gZbqr7XzMXk5qaColEYjThx/qmKV67dg1r1qzBpk2bMGnSJKMwgKdOncL8+fNx5swZhIaG0sc7k0qwvmBCXp0AXWGy0tLSOmGylhgBtVqN3NxcFBcXw9/fv02aLHVBdfZTfTGUuCAVJmtu/4ZEIkFSUhKsrKz00ik+c+ZMzJkzByNHjmzV6zSXoqIiZGdnt6hJsaFcDGVkDOHF6JqmKJfLsXHjRjx58gRHjhyhxzm0N4cOHcKKFStw9uzZOh7orFmzOqJKsL5gcihdCc0w2a1bt5CcnKwVJhs0aFCjYbLq6mo8f/4c9vb28PDwaNeEKJXspwxM7cqn+nbbml6JZq7k8uXLMDMza9ZMcZVKhfXr12PVqlUwNzc3qB6aQqFAcnIyfRPWV5Oi5hRRPp9P985oapTp04vRNU0xPT0d8+fPx8SJE7Fy5Uqjyf3s2rULGzZswIULF3Tqg8XGxnZElWB9wRiUroxmmIyqJiOEaIXJKNVWoVCIjIwMyOVyBAQEGGWzWO3dNp/Pp/NPVJiMEFKvVxIbGwtTU1NERkY26f0oEcdjx47hjTfeMGjTZnl5OdLS0gzSpEgIgUQioa+pZhFFQwO0GoOSy6cq0TgcDgghOHHiBPbs2YMff/yxTpNpe8NisWBqalqnl0coFNL/7oAqwfqCMSgM/4MQAoFAoBUmKykpgZOTEzIzM7F48WLMmTOnQ8l1UMn+qqoqlJSUQCKRwM7ODo6OjrCzs4OVlVWLvKzi4mJMnjwZN2/eNOjumRKSlEql7dqkqKmYUNuLobr7G7oumtMUKU+Xz+dj2bJlMDc3R0xMTJ3kNoPRwxgUhvqpqqrCihUrkJaWhhdffBFJSUlITk5Gz549mxUma280cyVeXl5a+mRCoZBO9p88eRLW1tZYsmRJva/17NkzXL16FUuXLoVSqdSLJEpTMeYmRU0vhlJMAKBVUUbpvlGjFzTzb/fu3cPHH3+M5cuXY8aMGUZ1bgxNpvMbFJlMhiVLluDatWsoLi5G9+7dMXXqVGzatEmr12Hbtm34/vvvwePxMGTIEOzbtw+enp7tuPL2Jz09HXFxcXj33XfpLzghBHl5eXSYLC4ujg6TRUZGYujQoUYxcZFaK5Uraah4QC6Xg8fjIS8vD9XV1eBwOHXG/0qlUojFYqjVasTFxeHVV1812Hmo1WpkZmaCx+MhMDCwwzQp1vZixGIxVCoVTE1N0atXL9jb24PD4eC7777D5cuXcfjwYfj4+LT3shlaTuc3KCKRCF999RVmzJgBHx8f5OfnY/LkyRg2bBiio6MBACdOnMDHH3+MCxcuwN/fH6tXr8a1a9eQkJBgNMlAY4UKk927d48OkxUXFyMgIICuJgsKCjLoTh5oWQVXXl4eAMDFxaVOsv+PP/4Ah8PB0qVLGw3n6BOhUIikpCQ4Ojqib9++RmGoW0J1dTUSExPRq1cvmJub459//sH27dshEAjg7OyMZcuWYfjw4XB3d++w58jQBQyKLn744Qfs27cPCQkJAICRI0dixIgR2LRpE4CaL7GTkxP+/vtvg5eAdgaUSiWePn1KezFJSUlwcnLSCpM1ZX54S2iqV6KLI0eOAIBWeef27dsxduxY+Pr60pVP1dXVdLJfU8Zf3+eRl5eHoqIiWgyxI6JrmiIhBOfOncOWLVuwefNmWFtb4+7du7hz5w62bNliFB3wDC2iaxqUyZMng8vl0no7dnZ2OHz4MN544w36OQMGDMCcOXMajKczNI36wmRhYWF0mEwfOQGq0dLa2hpeXl6t8iKysrLormw/P786lVRKpZLOF/D5fMhkMlhZWdFGpqXJfqCmSTExMVEv59GeyGQyrfNgs9kQi8X47LPPUFxcjJ9++qlJygr6RqVSYfXq1Th8+DCkUilefvll7N2712ACk52Yji29Mnv2bHpXqYu1a9di8+bNWse+//57xMbG4sGDB/QxRi6hbWGxWHBzc8O0adMwbdq0OmGyEydO0E2SVJisX79+TQ6TUQarsLCwVY2WFy5cACEE48aNw/z583Ho0CGMGDFC53NNTU1hb28Pe3t7eg1UZ39ubi6EQiHMzMy0vJjGquMIISguLkZOTk6r5660N2VlZUhPT4evry99jRITE7Fw4ULMmjULP/74Y7v1MH3zzTf4888/ce/ePdjb2+ODDz7AjBkz8Pfff7fqdZ89ewa1Wg0vLy9wuVw9rbbj02E8FKFQCKlUWu/jlpaWWgnMnTt3YuvWrbhy5Qr69etHH2c8lPZHM0x2+/ZtWsspIiICQ4YMweDBg3WGyfTplVy8eBFr167F3bt3YWJi0mqPiUr2U16MSqXS6kDX7OyXy+V4/vw5TExM6E7xjgg1e4UqazY3N4darcaBAwdw/Phx/PTTTxgwYEC7rtHd3R1ffPEF5syZAwDIyMiAt7c3srKy0Ldv3xa/7urVq5GSkoLCwkIcPHgQPj4+Bm10NQK6Tshr06ZN2Lt3L65evQo/Pz+tx0aOHImRI0di48aNAJgcijFAzSO5efMmHSZTq9UIDQ3FkCFDEBERgRMnTsDV1RUTJ07Ui/wLIQQXL17EuHHj2iS/o1artTrQxWIxOBwOzMzMUFVVBW9vb7pTvCOia5pieXk5PvzwQ7i4uOC7775r9wo1Pp8POzs7PHr0CAMHDqSP29ra4tixY5g4cWKzX5MQovV5mT59OkpLSzFmzBisXr1aL+vuIHQNg/Lpp5/il19+wbVr13SKtJ04cQLLly+nq7zWrFmDy5cv48mTJx02ft3ZIIRAKBTi3r17OHPmDP7v//4P7u7u8PDwoLv6mxMmMwYo6RSxWAwrKyuIRCKtZL+dnV2HmK6oOU0xKCiIVlH4559/sHr1aqxfvx5vvvmmUVRv5eXlwc3NDZmZmfDw8KCPu7u7Y8uWLZg+fXqLX5syLEqlEtHR0fj1118xefJkfPrpp/pYekegY+dQmkJOTg62b98Oc3NzLVfb3d0diYmJAID33nsPBQUFmDBhAt2HcubMmTYzJkxSsPmwWCxYW1vD1tYWt27dwtmzZzF48GA6TBYTE4Nnz57B0dGRDpMNGjQI1tbWRnEjqw2lX9WnTx/079+fXqNmsr+goIBO9lMGhsvltqt+Wm00pylSKsdyuRxbtmzBw4cP8ddff6FPnz7tvUwaqlpOlyJwS7S2VCoVfZ9gsVh0n837778PQggOHjyIUaNG6dT96ip0Og/F2NiyZQuOHDmCCxcu0ElBsVjc6qRgV0ChUECpVOqUhafCZFQ12f3796FWqxEWFoaIiAgMHTqUDsW0F5pNipR+VUNQnhkVJmtJsr+tqKioQGpqqtYcnMzMTERFRWH8+PFYs2aNUXqM7u7u+PLLL/HBBx8AqFmzl5dXi3Mo5eXlSElJQXBwsFZ5d0pKCjZt2oSePXti27ZtRrURaCO6RsjL2GirpCCDNpphstjYWNy5cweFhYXw8/Ojq8n69+9vsJse1aTo5OTUqgY+mUymVbKsmew3xNAsapqiQCBAUFAQLCwsQAjBzz//jF27dmH37t0GHSzWXLZs2YKjR4/SG7o5c+ZAIBDgwoULzX6tY8eO4eOPP4atrS38/f0xd+5cvPnmm/TjX3/9Ne7fv4///ve/sLCwMEpvWY8wBsXQtEVSkKHpqFQqPHv2DDdv3qSryRwcHLSqyfQdJqNUnYuLi9ukSVGlUtGd/ZrJfsrAWFtb6y18KxKJkJiYqGUUq6ursXz5chBCsGfPHoPNx2kpKpUKq1atwuHDhyGTyfDSSy9h3759jYacCSFQq9X0tRQIBFi4cCGWLVsGGxsb7NixA2lpadixYwdCQkIA1IiIBgcH48qVKwgODm7zc2tnGINiaNoyKcjQfKgRxprVZEqlUitM1qdPnxYbGEoCxsbGhm7ua2sooUbNoVlsNltLxr+5yX7NaYqBgYF0vuHBgwdYsmQJli5ditmzZ3faHbhmJVd8fDwuXrwIU1NTJCcn4+DBgwCAuLg4bNu2DYQQHD9+nL7GM2fOxPvvv4/Ro0e32/oNROdPyhsb+k4KMrQOFosFFxcXvPvuu3j33XfpBkUqTLZ06VJaxkWz6bIpTYrUDVhziJchYLFYdA9W7969AdTknqiS5fz8fMjlcq1kf0NSOFQ1momJCcLDw2FqagqVSoXo6GicP38eJ0+erFOK35nQTLwfPnwYH330EYYOHYrMzEw4OTnRzxs0aBDeeustHDhwAF988QW2bt0KoKZwQfN5XQ3GoLQhdnZ2cHNzQ3x8PB3yyszMRHV1dVdwiY0eFosFKysrjB07FmPHjgXwvzBZbGwsdu/ejWfPnsHe3r7eMJlEIkFqaipMTU3pG3B7Y2ZmVqezn0r25+TkQCAQwNzcnDYwNjY2MDMz0zlNsaioCFFRUQgJCcH169c7RGlzc1Cr1Zg/fz7eeecdvPTSSzAxMYFEIsHp06dx/fp1PH78GN7e3oiNjcXYsWNx4MABzJ07FwDw2muv4cmTJ3j06BGKi4vh7OyMEydOdOn2Aybk1cboMynIYHioMJlmNZlKpUJoaCi4XC4uXbqEP/74g/YOOgoymYwOk/F4PEilUhBC4O7uDrFYDD8/P1y4cAEbN27E9u3b8fLLL3fKEJdYLMaMGTOwYcMGWlHj9OnTWLhwIbhcLu7du0d7HDt37sTatWvx6NEj2ksrKipC9+7d9S4Y2gFgcijtQUuTggzGCSEEJSUlmDt3LrKysuDu7o68vDz4+vpqVZN1lEmX1DRFW1tb2Nvbo6ioCMuXL0d2djYUCgXmz5+PcePGITQ0tNPeNF9//XX4+Pjgu+++o49t3rwZp06dwoYNG7Rkmt544w08ffoUqampWp5I7Q76LoDOk+30xdLtjYmJCbZv347y8nIIBAL89ttvBjMmq1atQlBQEGxsbNC7d2/MmzcPlZWVWs85evQovLy8YGlpiYiICDx8+NAga+uosFgsHD16FFOmTMGzZ89w/vx5PH78GF9++SW4XC5+/PFHjBgxAhMmTMDGjRtx+fJl8Pl8NLJxaxeKi4uRkJAAb29v+Pj4oEePHmCxWJBIJFi+fDn+/fdfeHl54ejRo9i3b197L1fvqNVqAMB//vMfpKWlIT09nX5s2bJlcHNzw+nTp/H48WP6+O7du+Hi4oLS0lKt1+pixqR+CCEN/TB0YNasWUPi4+OJXC4npaWl5JVXXiETJ06kH7958yaxtLQkFy9eJFKplGzdupU4OTkRPp/fjqvu+KjValJQUEB+/vlnsnjxYhIREUHCwsLIvHnzyIEDB0hiYiIRCAREJBK1yw+fzyf3798nd+7cITwej4hEIiIQCEh0dDQJDQ0l8fHx7XbtpFIpiYqKIt7e3sTKyor06dOHfPLJJ0QikWg979tvvyW9e/cmlpaWZOzYsSQjI6PB11Wr1Tr/TQghN27cICNGjCBHjx4lSqWSPn779m0SGRlJ1q1bR0pLS/Vwdp0KnTaDMShdiHPnzhEbGxv695kzZ5Lp06fTv6vVatKnTx9y+PDh9lhep0YgEJCrV6+SDRs2kHHjxpGgoCAyefJksnXrVvLvv//SN/a2/ikqKiJXr14laWlpRCgUEpFIRHJzc8mkSZPI3LlziVAobNfrJBQKyWeffUaSk5OJUqkk2dnZJDQ0lCxZsoR+zvHjx4mjoyN5+PAhEYlEZPHixSQoKEjLGOgiMTGRVFRU6Hzsgw8+IGPHjiV37tzROh4TE0N8fX3JkSNHtI7XNkpdEJ02g8mhdCGWL1+OuLg43Lx5EwAwcOBAzJ49G8uWLaOfM2nSJHh5eWnFkxn0j0qlQmJiIi3h/+TJE/To0YOuJouIiICNjY3eQilExzRFAPj333+xcuVKrFu3DlOmTDHK0I0+pq7Gx8dj2rRpuHjxItzd3enjarUabDYbfD4fEyZMgI+PD2bNmoVRo0bRz/n2228RFRVl9E2cBobpQ+nKnD59Gvv378eNGzfoY8ywsfbDxMQEwcHBCA4OxqJFi+heltjYWFy/fh1bt26FXC5HaGgonex3c3NrUbOk5jTF8PBwsNlsKBQKfPXVV7h37x7OnTsHNze3NjhL/XD16lWtMvuEhAR8/PHH9O9WVlbw8fFBQkICRo4cSSfIiUaivGfPnhAKhXWuH5vNhkqlgq2tLaKjo7F3714sX74cO3bswAsvvABzc3OsXLkSwP+MD0P9MFenC3Dq1CnMmzcPZ86cQWhoKH3c2tqaabo0ElgsFnr37o133nkH0dHRuHPnDv79919MmzYNhYWFWLFiBSIjIzFjxgzExMTg4cOHUCgUjb5uWVkZ4uPj4e7uDh8fH7DZbGRnZ2PChAngcDi4cuWKwYwJ1V1f38/nn39e52+oqatbtmyhjzW2EaKMiKa3VVhYCBMTE7o3RxOqWissLAxfffUVZs6ciVWrVmHChAnIzc2ln8cYk8ZhPJROzqFDh7BixQqcPXu2jojfgAEDEB8fT/9OCMHjx48xefJkQy+TQQdcLhejR4+mZTxUKhWSkpIQGxuLffv24cmTJ+jevbtW06WtrS1YLBaEQiFdtRQWFgZzc3MQQnDq1Cns3LkTMTExGD58uEHPJyYmBtu3b6/38doDuaipq9euXdMyek3ZCK1fvx5yuRzvvfcegoKC4O/vD2dnZ+Tk5CAgIKDeNTg4OGDZsmWYMmUK8vPzjdpzM0rqS64QJinf4YmOjiY9evQg9+/f1/n4zZs3CZfLJVeuXCEymYxs27aNqfLqQKjValJYWEh++eUXsnTpUhIZGUlCQ0PJlClTiJeXF4mJiSHV1dVEJBKR4uJiMn36dPL222+TysrK9l56o2zcuJG4uLiQ58+f13lsxIgRZN26dfTvAoGAcDgc8s8//xBCCFEoFOSrr74iERERJCAggLz00ktkypQpxNfXl5SUlBBC6k+qM8n2JsNUeXU1ABBTU1PC5XK1fjQ5cuQI8fDwIN26dSODBg0iDx48MNj6VCoVGTJkCAFA8vLytNbk6elJOBwOGTx4sEHX1JFRq9Vkx44dxN/fnyxZsoSMHz+eBAUFkRdffJF4eXmR/fv3E5VK1d7LbJRPPvmEuLm5kfT0dJ2PHz9+nDg5OZH4+HgiFovJ0qVLSWBgYJ0qL6VSSQoKCsjOnTvJ22+/TXr27Em+++47Q5xCV4AxKAzGxfbt28nYsWO1DArTG9NyioqK6vRsKJVKEhsbS86fP9+OK2s62dnZBAAxNzfX2gQFBgZqPW/r1q2kV69ehMPhkDFjxug0PprGU6lUko8++ohMmjSJXL58mRDCeCOthCkbZjAeUlNTMX78eJw+fRohISHIy8uDq6srZs2aBbVajWPHjgEArS+1adMmzJo1q51XzdARUSqVMDU1xbNnz7BhwwZwuVx8+eWXWiMlGJoNI73CYByo1Wp88MEH2LZtW53a/oSEBISFhdG/s1gshISE0D0IDAzNhVKA7tevHy2Zc+vWrXZeVeeEqfLqAly6dAnOzs5GI5kfHR0NZ2dnTJ48GdnZ2VqPMb0xDG0B+f89KVOnTkXfvn0RERHR3kvqlDAeShcgPj4eM2bMQGFhIX1MLpfXEYo0BOnp6dixYwdiYmJ0Ps70xjC0BVSjIwDamDQS7mdoAYxB6QKsXLkSZWVlePLkidaxoKAgrWO6kMlkAPT35YuNjUVZWRn69esHBwcHutEyODgYu3fvrrc3ZsCAAXp5f4auS21ZGWOUmenw1JetJ0yVV6di8+bNZOTIkUSlUpGoqCji6upKkpOTG/yb//u//yNDhw7VKultLSKRiOTl5dE/d+7cIQBIXFwcEQgETG8MA0PHgCkb7opQpZN3794l3t7eZPDgweSFF14gCQkJhJD6SycfPHhAXF1dSVxcHH2sLcoss7KydPahtFdvDEPLEAqFxNPTk5iYmNR5rLlS8wwdAp02gwl5dXLI/w9VVVRUQCAQQK1W48CBAwgODoZardZy+6nnpqenIyYmBq+88grCw8OhUqkA/C9EQAiBUqmkBxS1hr59+4IQAldXV/rYzJkzkZmZCYlEgvv372tVfbU1V65cQWRkJKysrODg4IBFixbRjzHDyOpn9erVOstwT5w4gW3btuHs2bMoKytDYGAgJk6cSH+mGDoZ9VkawngoHR7Ko/jtt99I9+7dyaxZs8iAAQNIcXGxzudTncZbt24lkyZNIrdv36Yfe/ToEXn27BlRKBT1/m3tTmUej0fOnTvXYRrIrl+/TmxtbcmpU6eIVColEomEPHz4kBDCNFw2xI0bN8iAAQPIpUuX6ngoI0aMIJ9//jn9e22ZFIYOCxPy6oocPnyYODk5kQMHDpDq6mri5+dHTp48qfO51I1/9OjRZNWqVUQgENCPLVy4kISEhJAFCxaQsLAwMnXqVJKamtrgeyckJJDRo0eTxMRE/Z1QGxIZGUlWrVql8zFmGJluRCIR8fX1Jffv3yfXr1+vY1BsbW3J77//rnUsODiYREdHG3KZDPqHCXl1JVQqFRYtWoRNmzbhm2++wZw5c2BtbY3Zs2dj586dAFAnZMVisSAWi1FSUoKgoCBYWVnRj5WUlCAvLw+vvvoqDhw4gJKSEuzZswf//PMP/vOf/2DYsGE4ceIElEol/drBwcHo0aMH/v77bwDGXaYpEolw//59dOvWDaGhoXBwcMCoUaPw4MEDAF2v4bKpUvNr1qzB66+/jkGDBul8HaavqGvBNDZ2UkxMTDBt2jRMmzYNw4YNo4+PHz8ex44dw8WLFzFu3DitIUQAkJWVBWdnZy0p8cLCQhQUFGDVqlV4/fXXAQDLli3DW2+9haKiIqxevRq3bt3C+vXrMXDgQAQFBdF/K5VK6bkdxlymWVVVBbVajf379+Pvv/+Gv78/tm/fjldffRWpqald7sbYFKn52NhYnD9/vkGjyvQVdS0YD6UTM2zYMC1jAtTMQBk2bBiePn0KoO5NnsvlgsvlQiKR0McSEhJgYmKiZSj4fD569uxJ947MmTMHDg4O+OuvvwDUDCNSq9Xw8fFBbm6uXhL4bYm1tTUA4P3330dwcDDMzc2xZs0aKBQK3L59u8vdGKmihPp+LC0tceXKFXpmiIODAyZNmgSVSgUHBwecPXsWQN2ZO0KhEGlpaUxfUSeF8VA6MbW9D4q9e/fqfL5arUbfvn2Rn5+vdaOMj4+Ho6Oj1izuixcvIiIiAt27dwcA5OTkwNXVFXK5nH6OUCiESqUCj8cz+ml3tra26Nu3r87rxWKxmGFkOli+fDnmzp1L/37nzh385z//wePHj+nJiFFRUVi+fDnefPNN+Pv74/PPP4eHh0edjQ5D58C4v+UMraK+EFN93gJ10x85ciQSExPp5/3zzz+wtbVFr1696Oc+ePAAY8eOpX/Pzs5GSUmJ1jS88vJyZGZmdhhV10WLFuHQoUNISkqCUqnEtm3b0K1bNwwdOhTz5s3Db7/9hqtXr0Iul2PHjh2QSqV4880323vZ7YaNjQ1cXV3pH0dHRwCAq6srOBwOAOC9997DihUrMGHCBNjb2+Pp06c4c+YMPXaXoXPBeChdkMa8hXnz5uH7778Hm82GSqXC/PnzYWpqSnsjBQUFSEtL09pl5uTkgBCCkJAQ+tjDhw/B4/G0DI8x88knn0AgEGDMmDGQSqUICQnB33//DVtbWwwbNgy7d+/GvHnzUFRUhP79++P8+fOdNuTVEkaNGkUXZWiycuVKrFy5sh1WxGBw6iv/IkzZMEM9FBYWkiVLlhC5XE4IIUQmk5FFixaR4cOHaz3v9ddfJ4sXL9YqP2ZoPkVFReSdd94hDg4OxM7OjowePZo8fvyYfpyZcMnQDjBlwwwtg9Qq9+3Vqxeio6NhZmZGHxs1ahTeeOMN+vfr168jPj4ey5Yt0yo/Zmg+ixYtQmVlJVJSUlBSUoLw8HC89tprIIQgNjYWCxcuxJ49e1BVVYW33noLr776aqetPmMwbpiJjQzNhvrM1Jej+e9//4sjR45g0qRJWLhwIdRqtdEn5Y2Z4OBgfPTRR4iKigIApKSkwN/fH2VlZVixYgUz4ZKhPdD55WdyKAzNRpch0TQaERER8PT0pOdOMMakdXz66ac4fvw4Jk+eDCsrK+zbtw/Dhg2Dg4MDEhISMHv2bPq5nb3hksG4YQwKg17QNBqenp7w9PRsx9V0Ll544QUcOXIEjo6OMDExQZ8+fWj1ga7WcMlg3DBbRwYGI0atVuPFF1+Er68v+Hw+xGIx1q5di+HDh6OkpKTLNVwyGDeMQWFgMGIqKyuRlZWFxYsXw8bGBubm5pg7dy7UajXu3r3LTLhkMCoYg8LAYMQ4ODjA19cXu3fvhkgkglKpxMGDByEQCNC/f3+m4ZLBqGByKAwMRs4ff/yBTz/9FO7u7lAoFPD29sapU6foXBXTcMlgLDBlwwwMDAwMzUVn2TAT8mJgYGBg0AuMQWFgYGBg0AuMQWFgYGBg0AuMQWFgYGBg0AuMQWFgYGBg0AuMQWFgYGBg0AuMQWFgYGBg0AuMQWFgYGBg0AuMQWFgYGBg0AuMQWFgYGBg0AuNaXnpHsnHwMDAwMBQC8ZDYWBgYGDQC4xBYWBgYGDQC4xBYWBgYGDQC4xBYWBgYGDQC4xBYWBgYGDQC4xBYWBgYGDQC/8PwW1rE//Owp0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = plotObj3D()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {
        "col": 0,
        "height": 10,
        "hidden": true,
        "row": 0,
        "width": null
       },
       "report_default": {}
      }
     }
    },
    "nbpresent": {
     "id": "09257b6f-48e9-426c-a0f3-d1a60beb3ad0"
    }
   },
   "source": [
    "## Backgrounds \n",
    "\n",
    "When using crosswell electromagnetic (EM) survey, we inject step-off currents to the earth using (+) and (-) current electrodes, and measure voltages between potential electrodes in the off-time, when DC effects are disappeared. A common goal here is imaging conductivity structure of the earth by interpreting measured voltages. However, to accomplish that task well, we first need to understand physical behavior of EM responses for the given survey set-up. \n",
    "\n",
    "Assuming length of the current elecrodes are small enough, this can be assumed as electrical dipole (ED). For a croswell set-up, let we have a vertical magnetic dipole (VMD) source in a homogeneous earth with step-off currents, then we can have analytic solution of EM fields in time domain (WH1988). Solution of of arbitrary EM fields, $\\mathbf{f}$, will be a function of \n",
    "\n",
    "$$ \\mathbf{f} (x, y, z; \\sigma, t),$$ \n",
    "\n",
    "where $\\sigma$ is conductivity of homogenous earth (S/m), and $f$ is transmitting frequency (Hz). Here $\\mathbf{f}$ can be electic ($\\mathbf{e}$) or magnetic field ($\\mathbf{h}$), or current density ($\\mathbf{j}$). <strong>Now, you will explore how EM responses behaves as a function of space, $\\sigma$, and $t$ for the given crosswell EM set-up  </strong>. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {
        "col": 0,
        "height": 13,
        "hidden": true,
        "row": 6,
        "width": 6
       },
       "report_default": {}
      }
     }
    },
    "nbpresent": {
     "id": "b9b7af2b-084a-4f24-9c1f-6c681e30fd35"
    }
   },
   "source": [
    "#  Geometry app\n",
    "\n",
    "Here, we choose geometric parameters for a crosswell EM set-up having two boreholes for Tx and Rx. In the Tx hole, a VED source is located at (0m, 0m, 0m), and it is fixed. Horizontal location of the Rx hole is fixed to 50m apart from the source location in x-direction.  \n",
    "\n",
    "## Parameters\n",
    "\n",
    "- plane: Choose either \"XZ\" or \"YZ\" plane\n",
    "- offset: Offset from a source plane (m)\n",
    "- nRx: The number of receivers in the Rx hole\n",
    "\n",
    "Chosen geometric parameters will be used in the Electric Dipole widget below. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {
        "col": 7,
        "height": 22,
        "hidden": false,
        "row": 0,
        "width": 5
       },
       "report_default": {}
      }
     }
    },
    "nbpresent": {
     "id": "baf63d98-9356-4c2d-81d7-8f8cd1a6da2d"
    }
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "176fbd81889d4b0cab6f09d75e8cb13c",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "MyApp(children=(ToggleButtons(description='Plane', options=('XZ', 'YZ'), value='XZ'), FloatSlider(value=0.0, c…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "Q0 = InteractivePlanes(planevalue=\"XZ\", offsetvalue=0.)\n",
    "display(Q0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {
        "col": null,
        "height": 9,
        "hidden": true,
        "row": 29,
        "width": null
       },
       "report_default": {}
      }
     }
    },
    "nbpresent": {
     "id": "4cca45b8-6d74-43f2-b3aa-2f1f3ece54f3"
    }
   },
   "source": [
    "# Electric Dipole app\n",
    "\n",
    "Explore behavior of EM fields, $\\mathbf{f} (x, y, z; \\sigma, t)$ on 2D plane chosen in the above app. And also at the receiver locations. \n",
    "\n",
    "\n",
    "## Parameters:\n",
    "\n",
    "- Field: Type of EM fields (\"E\": electric field, \"H\": magnetic field, \"J\": current density)\n",
    "- AmpDir: Type of the vectoral EM fields \n",
    "\n",
    "    None: $f_x$ or $f_y$ or $f_z$\n",
    "    \n",
    "    Amp: $\\mathbf{f} \\cdot \\mathbf{f} = |\\mathbf{f}|^2$\n",
    "    \n",
    "    Dir: A vectoral EM fields, $\\mathbf{f}$\n",
    "    \n",
    "- Comp.: Direction of $\\mathbf{F}$ at Rx locations        \n",
    "- $t$: time after current switch-off \n",
    "- $\\sigma$: Conductivity of homogeneous earth (S/m)\n",
    "- Offset: Offset from a source plane\n",
    "- Scale: Choose \"log\" or \"linear\" scale \n",
    "- Slider: When it is checked, it activates \"flog\" and \"siglog\" sliders above. \n",
    "- TimeLog: A float slider for log10 time (only activated when slider is checked) \n",
    "- SigLog: A float slider for log10 conductivity (only activated when slider is checked)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {
        "col": 0,
        "height": 26,
        "hidden": false,
        "row": 22,
        "width": null
       },
       "report_default": {}
      }
     }
    },
    "nbpresent": {
     "id": "d4efa881-fa5c-4ecc-87b0-47f53e865a5f"
    }
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e324154d72044ad4a36ad6c7282a6215",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "MyApp(children=(ToggleButtons(description='Field', options=('E', 'H', 'dHdt', 'J'), value='E'), ToggleButtons(…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dwidget = DipoleWidgetTD()\n",
    "Q1 = dwidget.InteractiveDipoleBH(nRx=Q0.kwargs[\"nRx\"], plane=Q0.kwargs[\"Plane\"], offset_plane=Q0.kwargs[\"Offset\"])\n",
    "display(Q1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {
        "col": 0,
        "height": 4,
        "hidden": true,
        "row": 38,
        "width": 12
       },
       "report_default": {}
      }
     }
    }
   },
   "source": [
    "# Proflie app\n",
    "\n",
    "Here we focuson data, which can be measured at receiver locations. We limit our attention to three different profile shown in **Geometry** app: Rxhole (red), Txhole (black), TxProfile (blue). \n",
    "\n",
    "## Parameters:\n",
    "\n",
    "- Comp.: Direction of $\\mathbf{F}$ at Rx locations        \n",
    "- ComplexNumber: Type of complex data (\"Re\", \"Im\", \"Amp\", \"Phase\")\n",
    "- $t_1$: Time (sec)\n",
    "- $t_2$: Time (sec)\n",
    "- $t_3$: Time (sec)\n",
    "- Profile: Type of profile line (\"Rxhole\", \"Txhole\", \"TxProfile\")\n",
    "- Scale: Choose \"log\" or \"linear\" scale \n",
    "- Rx#: choice of Rx point for the following Sounding app"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {
        "col": 0,
        "height": 25,
        "hidden": false,
        "row": 48,
        "width": null
       },
       "report_default": {}
      }
     }
    }
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "bf969c9f88f147929f624b23daa35117",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "MyApp(children=(ToggleButtons(description='Comp.', index=2, options=('x', 'y', 'z'), value='z'), ToggleButtons…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "Q2 = InteractiveDipoleProfileTD(dwidget, Q1.kwargs[\"Sigma\"], Q1.kwargs[\"Field\"], Q1.kwargs[\"Component\"], Q1.kwargs[\"Scale\"])\n",
    "display(Q2)"
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    "# Sounding app\n",
    "\n",
    "## Parameters:\n",
    "\n",
    "- Comp.: Direction of $\\mathbf{F}$ at Rx locations        \n",
    "- $\\sigma$: Conductivity of homogeneous earth (S/m)\n",
    "- Scale: Choose \"log\" or \"linear\" scale "
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       "MyApp(children=(ToggleButtons(description='Comp.', index=2, options=('x', 'y', 'z'), value='z'), FloatText(val…"
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    "display(app)"
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